MSc Data Science Course, Colleges, Syllabus, Distance learning, Jobs and Future Scope 2024

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Waqar Niyazi

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MSc Data Science is an interdisciplinary degree program which revolves around the major disciplines of Calculus, Descriptive Statistics and C-Programming in order to understand different phenomena with respect to a big set of real world data.

Students who have completed their Bachelors degree in either Statistics, Mathematics, Computer Science or Engineering can pursue Data Science Courses 2 year research-based program. Admission is mostly done on the basis of merit obtained in the qualifying examination, followed by a written test and/or personal interview.

Data Science is considered to be one of the trendiest courses to pursue in 2024. Many students and professionals are shifting their interest in this domain because of the huge career scope and high demand for skillful and professional data scientists in India as well as Abroad.

There are a number of government and private colleges that offer this course. Check the following table to know the few of the best MSc Data Science Colleges in India:

College Name Location Admission Process Total Fees
Vellore Institute of Technology (VIT) Vellore Merit+ Counselling INR 1,61,000
Christ University Bangalore Merit+ Skill Assessment and Personal Interview Under 2,84,000
Annamalai University Chidambaram Merit INR 27,495
Manipal University Manipal MET 2024 INR 3,00,000
Fergusson College Pune Merit+ Written Round INR 17,955

The average course fee to pursue this course is around INR 2 Lakhs. But in colleges such as Annamalai University and Fergusson College, the total fee is under INR 30,000

Common MSc Data Science subjects are Python Programming, R Programming, Multivariate Analysis, Deep Learning, Cloud Computing, and much more. Check BSc Data Science Syllabus for full details.

After the course completion, you can become a Data Scientist, Data Analyst, Data Engineer, Database Architect, etc. and easily earn around INR 4-8 LPA. After gaining the right skills and getting ample experience, you can earn more than INR 10 LPA. Check MSc Data Science Jobs & Career to know more.

Considered one of the top courses to pursue in 2024 worldwide, data science domain produces one of the highest paying jobs in the IT industry. Therefore, many students are interested to pursue this sought out course for their career development and to gain financial stability. 

Check: 

MSc Data Science Admission Process

MSc Data Science Admission Process

Admission to this interdisciplinary program is done on the basis of merit (marks obtained at Bachelor’s level).

Different colleges follow different admission process:

  • Fergusson College, Christ University, etc. consider merit marks and take Skill Assessment through a Written Test, followed by a Personal Interview
  • Manipal University, GITAM University, etc. accept students through their university-level Common Entrance Tests such as MET, GSAT, etc.
  • VIT, Vellore takes admission on the basis of merit marks, followed by Counselling and a Personal Interview.

Hence, the admission process is very college-specific and consider different assessments as their selection process.

MSc Data Science Eligibility

Common eligibility is atleast 50% aggregate marks from any recognized college/university in India or Abroad in one of the following Bachelor programs:

  • Bachelor of Computer Applications (BCA)
  • Any Bachelor program in Computer Science, Mathematics or Statistics

Students in their final semester are also eligible to apply if they are pursuing any one of the above mentioned courses.

MSc Data Science Entrance Exams

Universities conduct a series of common entrance exams or tests to select students for their UG and PG courses. List of these entrance exams:

Entrance Exams Registration Exam Dates
CUET PG February 2024 March 11 – 28, 2024
BITSAT March 2024 May 2024
NEST To be Announced To be Announced
IIT JAM

September 05 – October 25, 2023 (Extended)

February 11, 2024
TISS NET To be Announced     To be Announced    

How to prepare for MSc Data Science Entrance Exams?

  • Time Table: It is always advisable to make a time table so that you figure out how much syllabus you have covered, and how much is left. 
  • Syllabus: Different colleges have different test syllabus, but the majority of them consist of Logical Reasoning, Communication Skills, Written Skills, Reading Aptitude, General Knowledge and/or Subject Knowledge. You should be aware of the syllabus so that you can prepare accordingly for the exam. 
  • Study Material: Find out the study material online, or through friends and colleges. Some colleges have given their syllabus given out on their official website.
  • Sample Papers and Mock Tests: You should have sample papers with you for practice so that you know the type of questions you will get to face on the exam day. Give as many mock tests you can to get an edge over other students.
  • Revision: Syllabus should be covered in such a way that you get time for revision also. Make notes while studying so that you can refer to them later during the revision time.

How to get admission in a good MSc Data Science College?

  • It is important to know the course objectives, aim, and syllabus of the college in which you want to take admission in. Check BSc Data Science Syllabus to get the basic idea of what all is included in the syllabus.
  • Make sure you apply to the college before their application deadline, as some colleges do not offer admission prior to that.
  • Your UG degree marks are considered during admission, which means if you have scored well above the minimum criteria then your chances of getting admission is high as compared to other students. Hence, we advise you to score atleast 70-80% in your Bachelor degree.
  • Prepare well for the Written Exam and Personal Interview round as this will decide the final outcome of your admission status.
  • Make sure you have all the necessary documents like Aadhaar Card, Birth certificate, etc during the time of admission for a hassle-free process. 
  • Pay the admission fee on time to secure a place in that college.
MSc Data Science: What is it About?

MSc Data Science: What is it About?

Data Science:

  • It is an interdisciplinary field that includes the domains of computer science, statistics, mathematics, artificial intelligence and machine learning.
  • MSc Data Science is one of the most favoured masters courses in data science specialization because it includes all the necessary topics and structure which leads to skills required to become a successful data scientist or have a career in data science domain.

Aim of the program:

  • The main aim of this course is to provide an opportunity to master the skills specific to the data science field with a practical approach.
  • Theoretical knowledge and hands-on experience in relevant tools and technologies such as SAS Software, ApacheSpark, MATLAB, Tableau, Jupyter, TensorFlow, Python, Hadoop, etc. is provided in this program. 
  • Apart from theory subjects, the curriculum includes the learning of basic aspects of data science with the help of practicals, lab training, research models, industry exposure, research projects, seminars, internships, etc.

Program Outcome:

  • The main course outcome is that students become skillful enough to apply skills, techniques and knowledge in the real world with respect to different sets of data for solving or enhancing different problems in the field of business, manufacturing, banking, genome analysis, business analytics and many other fields.
  • Students will be able to develop abstract thinking and design ability to be able to identify and understand concepts related to data science theories and practice using fundamental principles of mathematics, statistics, computer science and other relevant domains.
  • Students will be able to use different programming tools towards problem solving and to derive solutions for them for different domains based on global trends and needs. They will be able to use research-based knowledge for design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

MSc Data Science Course Highlights

Full Form Master of Science in Data Science
Course Level Postgraduate
Duration 2 years
Eligibility Atleast 50% in Bachelor program in either Computer Science, Statistics or Mathematics
Admission Process Merit + University Entrance Test or Written Assessment Round, followed by Personal Interview or Counselling
Course Fees Around INR 2-4 Lakhs
Average Salary INR 4-8 Lakhs Per Annum
Job Positions Data Analyst, Data Engineer, Machine Learning Engineer, Data Scientist, Data Architect, Database Administrator, Data Solutions Analyst, Business Analyst, Data Mining Engineer, etc.
Top Recruiting Companies Tredence Inc., Wipro Ltd., Oracle, Cartesian Consulting, TEG Analysis, Deloitte, GlobalAnalytics, IBM, Amazon, MuSigma, etc.
Why study MSc Data Science?

Why study MSc Data Science?

MSc Data Science is one of the most pursued master degrees in India because of the following reasons:

  • Knowledge and Skills:

This course is made to acquire skills and knowledge with respect to different big data science techniques and tools to become efficient in programming, analyzing, machine learning, data visualization, data analyzation, etc. across different world sectors.

Apart from this, you will become good at analyzing the problem and making your way to predicting a relevant solution. You will also become proficient in handling large sets of data on your own.

data science tools and skills

  • Huge Demand:

Data Science is making its way to become one of the highest paying jobs in the IT industry. After managerial roles, these types of jobs will become the most pursued courses in 2024. At this moment, there are more than 2 Lakhs job openings related to this field of study across India.

By estimation, it is said that there will an increase of at least 40-45% each year in job opportunities in this domain. After the United States, India is next into becoming the analytics hub of the world.

  • Salary:

According to PayScale, the national average salary of a Data Scientist is around INR 8.1 LPA, and with time, it will go upto INR 20 LPA within 5-10 years of relevant experience.

The minimum percentage hike for professionals in the data science domain is at least 35-40% and it can go as high as 60-70% in well-reputed and international companies such as Amazon, Deloitte, Publicis Sapient, Cognizant, and others.

MSc Data Science vs MSc Computer Science

Course Comparison

There are many similar courses with respect to MSc Data Science like MSc Health Data Science, MSc Big Data Analytics, MSc Data Analytics, Master of Data Science, MSc Data Science and Spatial Analytics.

As you can figure out from the name, these courses are almost the same with a slight difference in either course subjects, specializations and choice of electives. There might be a difference in course outcomes as well, but career options and job opportunities remain almost the same.

Other than this, many students compare MSc Data Science with MSc Computer Science. In the table below we have given some major differences between the two in terms of course overview, program aim and course curriculum. Have a look:

Parameters MSc Data Science MSc Computer Science
Specialization Data Science Computer Science
Course Overview The main objective of this program is to enable students to learn different aspects and use of statistics, machine learning, programming, deep learning, artificial intelligence with respect to a big set of data in the real world.  The main objective of this program is to develop human resources with the core competencies in various fields of computer science like IT, hardware and software. 
Course Aim The aim of this course is to make students proficient in the applicability of different domains of data science to solve problems or to plan strategies for advancement and development. The aim of this course is to make students proficient in different aspects of software engineering, system development, natural computation, mathematical foundations and artificial intelligence.
Major Subjects Probability And Distribution Theory, Principles of Data Science, Database Technologies, Regression Analysis, Design and Analysis of Algorithms, Machine Learning, Web Analytics, Deep Learning etc. Neural Networks, Cloud Computing, Distributed Computing, Modelling and Simulation, Embedded Systems, Discrete Mathematics, Distributed Systems, Computer Systems Verification, etc.
Average Total Fees INR 2-5 Lakhs INR 1-3 Lakhs
Average Starting Salary INR 4-8 Lakhs INR 3-6 Lakhs
MSc Data Science Colleges

MSc Data Science Colleges

Following table shows some of the best MSc Data Science Colleges in India:

Collegedunia Rating (out of 10) College Name Location Total Fees
9.4 Loyola College Chennai -
8.6 Vellore Institute of Technology (VIT) Vellore INR 1.61 Lakhs
8.4 Fergusson College Pune INR 17,955
7.6 Annamalai University Chidambaram INR 27,495
7.0 Manipal University Manipal INR 3 Lakhs
6.6 GITAM University Visakhapatnam INR 2 Lakhs
6.0 Amity University Gurgaon INR 2.09 Lakhs
5.9 Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar INR 7.3 Lakhs
5.9 Techno India University Kolkata -
5.9 University of Kalyani Kalyani INR 1.65 Lakhs
5.4 Chandigarh University Chandigarh INR 1.3 Lakhs
Know More:  Best MSc Data Science Colleges in India

In 2019, many data science courses were introduced in various universities and colleges of Hyderabad, Bangalore, Delhi, Chennai, Kolkata and other major cities of India.

The government is doing it’s best to promote various data science courses at UG level, PG level, certificate courses and diploma courses in different colleges and universities for a better future in the IT industry.

Check More:

MSc Data Science Distance Learning

Apart from the above mentioned colleges which offer this data science course through full-time mode, many students and working professionals prefer to pursue this course through online mode or through distance learning.

In India, BITS Pilani offers masters in data science course through distance learning. You can opt for many certification course and shorts programs in this domain to acquire the required data science skills. These courses are specially for working professionals and college professors. They are:

  • ERP (External Registration Programme)/ QIP (Quality Improvement Programme) offered at IITs, IISc, University of Hyderabad, etc.
  • Certification course offered at NPTEL

There are many platforms which offer various masters in data science and its related courses online. Some of them are mentioned below:

  • Coursera
  • UpGrad
  • SimpliLearn
  • Great Lakes

Courses in these platforms are either independent or affiliated with some national or international college or university. They offer globally acclaimed programs and you can choose the right program for you basis the duration, outcomes and skills to be learnt.

You can also pursue a data science course online directly from esteemed and reputed foreign universities of the US, UK, Australia, etc. by completing your application process on time. 

Courses such as MSc Data Science, MSc Machine Learning, Masters in Data Analytics and other similar courses can be pursued in these colleges.

MSc Data Science Syllabus & Course Curriculum

MSc Data Science Syllabus

The syllabus and course curriculum is inclusive of three main parts: Calculus, Descriptive Statistics and C Programming. Latest technologies like ML, DL, Python and Spark are taught thoroughly.

Following table shows the semester wise syllabus of MSc Data Science:

Semester I Semester II
Mathematics for Spatial Sciences Spatial Big Data and Storage Analytics
Applied Statistics Data Mining and Algorithms
Fundamentals of Data Science Machine learning
Python Programming Advanced Python Programming for Spatial Analytics 
Introduction to Geospatial Technology Image Analytics
Programming for Spatial Sciences Spatial Data Base Management
Business Communication Flexi-Credit Course
Cyber Security
Integrated Disaster Management 
Semester III Semester IV
Spatial Modeling Industry Project
Summer Project Research Work
Web Analytics
Artificial Intelligence
Flexi-Credit Course
Predictive Analytics and Development 

Apart from these core courses, there are electives also which you will have to choose to complete your credits.

MSc Data Science Electives
Deep Learning System Dynamics Simulation
IOT Spatial Analytics Spatial User Interface Design and Implementation
Research Modelling and Implementation  Genomics
Exploratory Data Analysis Multivariate Analysis
Stochastic Process  Programming for Data Science in R
Hadoop Image and Video Analytics
Internet of Things Identification and Data Collection
MSc Data Science Jobs and Career Options

MSc Data Science Jobs and Career

This course is perfect for students who want to make a career in the big data industry, computer science and IT industry.

As we all know that the latest trends and technologies nowadays all revolve around data science, therefore right now is the best time to pursue this course for a better future in the technology sector.

The common employment areas that hire Data Science postgrads are tech companies, consultancies, market research companies, and energy sectors. If you want to go into teaching or research, you can get employed in research institutes, colleges or universities as well.

There are four major types of Data Science Jobs:

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer
  • Data Science Generalist

Apart from these, you also have other options which we have discussed below with the job description and the average salary offered.

Have a look:

Job Profile Job Description Average Salary
Data Analyst The main role of a Data Analyst is to translate data into plain English so that big and profitable decisions can be made in business, sales pitch, logistics, market research, manufacturing, etc.  INR 4.11 LPA
Data Engineer A Data Engineer is responsible for various things like developing, constructing, testing and maintaining databases, large scale processing systems and much more. They also recommend and give ideas to improve data reliability and data quality.

INR 8.69 LPA
Data Architect A Data Architect plays a very important role in a company by maintaining all the database and identify different structural and installation solutions.

INR 19.31 LPA
Machine Learning Engineer An ML Engineer is responsible for understanding and transforming different prototypes of data science. They perform research, design and frame machine learning systems for efficiency and problem solving through model tests and experiments.

INR 9.58 LPA
Data Scientist Data Scientists perform statistical analysis and make sense to the data important for company business or for some other analysis.

INR 7.07 LPA
Statistical Programmer A Statistical Programmer develops and uses different analysis plans, validations plans and other related documents required to determine and research SAS software and related system maintenance issues.

INR 5.16 LPA
Data Developer A Data Developer makes sure that the data is gathered before the development of any database. They create management methods and systems in the IT domain.

INR 6.19 LPA
Data Science Teacher A Teacher or Professor of Data Science works in either college, university or institute to teach students different theory and practical subjects of data science and related fields. As per industry standards
Data Mining Engineer A Data Mining Engineer usually enhances and creates statistical and predictive models and algorithms to analyze large sets of data, and derive valuable information and insights from it.

INR 6.14 LPA
Database Administrator Database Administrators used professional and specialized softwares for data storage and organization as per the need and to improve the quality.

INR 10.23 LPA

Salary Trend Graph:

msc data science jobs salary

Similar Course:  MSc Data Analytics

MSc Data Science Future Scope

MSc Data Science Scope

Data Science is considered one of the trendiest courses in the world right now. Many students and working professionals are attracted to this course because it leads to the right skills and knowledge required to become a successful Data Analyst and Data Scientist

This rapid boom in the data science field will not slow down anytime soon. The future and scope of data science will expand in the coming years because big data plays an important role in the day-to-day commerce and digital industry. This means that the need for skillful professionals to meet the challenges of data science, data analytics, and similar roles will not be going to stop.

To fulfill the demand of experts in this field, the government is planning to introduce this course in all the reputed and big colleges in India in major cities like Kolkata, Bangalore, Mumbai, Delhi, Chennai, etc. 

After the US, India is expected to become a specialized market for Data Science experts across the globe. According to Glassdoor, the National Average Salary for Data Scientist is around INR11,48,252 and International Average Salary is around USD 113,436, meaning you can easily find financial stability and career growth in this domain across the world.

Apart from earning, you get to interact and work with top IT Engineers and Data Scientists helping you to gain the required skills and knowledge. Other than this, you get to work on cutting edge technologies and exploiting it to solve different challenges and issues of the top companies. 

Apart from diverse career options available and huge earning potential, below we have discussed what you can do after completing your MSc Data Science course.

Higher Education: To become an expert and to be eligible to teach in colleges and universities, you can go for a PhD course in a similar domain, or you can go for an MBA if you want to be in the managerial role.

MSc Data Science: FAQs

MSc Data Science FAQs

Ques. What is MSc Data Science?

Ans. MSc Data Science is a 2 year master degree course in the field of data science, which includes different aspects of computer science, machine learning, deep learning, artificial intelligence, statistics and mathematics. 

This is one of the highly pursued master degree courses of data science in India, and offered by universities such as Annamalai University, Fergusson College, VIT Vellore, Chandigarh University, etc. Check MSc Data Science to know everything about this course, from admission, eligibility, colleges, syllabus, jobs and future scope.

Ques. Which is better MCA or MSc in Data Science?

Ans. Master of Computer Applications or MCA is a master degree course which specialized mainly on different aspects of computer application subjects such as computational theory, mobile technologies, electronics, mathematics, probability, statistics, latest programming languages and tools, algorithm design and optimization, network and database management, etc.

MSc Data Science mainly focuses on different technologies and techniques involved and used with respect to big data analysis of real-world data. 

Both these courses will lead to growing your career in the IT industry, but MCA will lead you to a more programming specific job, and MSc Data Science will lead you to become a Data Scientist and Data Analyst. 

Ques. Which university is best for MSc Data Science in India?

Ans. Christ University, MAKAUT and University of Madras are considered a few of the top universities to consider pursuing MSc Data Science. Check MSc Data Science Colleges in India to know more.

Ques. Which country is best for data science?

Ans. developed nations like the US, Germany, Canada, Australia and UK. The course is offered part-time and full time as well there. In India,  most of the courses are offered full time only in colleges like Christ University, Fergusson College, Annamalai University, etc.

Ques. How do I get a job in data analysis?

Ans. To get a job in the data analysis field, it is important that you have a background or you have studied subjects such as mathematics, statistics, computer science or computer programming. If you are not from any of these backgrounds, then you should do some self-study have basic knowledge of the subjects. After this, you can either enroll for some degree program in data science or there are several online platforms as well like Coursera, SimpliLearn, GreatLakes, UpGrad, etc. where you can learn modules and become an expert in the data science field.

You may not get a high paying job right after these courses, as a successful career in data science is all about experience and the right skills, which you can gain through paid internships or training. After that, you may get a high paying job in the computer science or IT industry. 

Ques, Is Data Scientist a good career?

Ans. Yes, data Scientist is considered to be a good career option if you are looking to take up some challenges and learn the different aspects of data science in the analysis world. The National Average Salary for Data Scientist is around INR11,48,252 and International Average Salary is around USD 113,436 according to Glassdoor, which means you can easily satisfy your need for career growth and stability as a data scientist.

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31 Reviews found

As
4.4 /5
Most Helpful

Loan/ Scholarship Provisions:

Silicon university charges 1lach 35 thousand per year as their institution fees,after that you will be paying for hostel coution money, registration fees etc.. and that's around twenty thousand rupees which is one time during the course duration.if you do get involved in any kind of other courses and placement classes or in any internship program you have to pay roughly 5 thousand rupees per course.as per the financial help i haven't got any help yet,if there's any help present the college officials shall give you the proper details.

Internships Opportunities:

One bad thing about sillicon is it's internship program,it's should be better.the summer internship just feels like some normal online classes. Aptus lab came to pick us for the internships but seems we were lack of knowledge at that time so none of us from the data science made there. Project can be any thing which you are interested in,but it will be better if the project is related to your course otherwise what's the point , the companies will seeking the knowledge according to your course right.


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Faculty:

For msc data sc we have here trimester system.. Means 3 sem per year.. There r two types of paper.. CIA paper and ese paper.. CIA paper is for the lab subjects ese papers r for theory's subjects. So before end sem we have total there CIA's base on them the no of given to CIA paper. And for the ese subject there is a end sem..

Campus Life:

To be very honest in everything week there is a seminar or tech fest is running on the campus just u have to sensible to part in all of that. There are projectors in classrooms charging points and the also black and white board. There r many clubs in this colleges u can take part in as ur interest


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SS
4.3 /5
Most Helpful

Faculty:

The faculty was very understanding, and had good knowledge about the subjects they were teaching, despite M.Sc Data Science being the first course that was started in 2020, we were the first batch of students. We used to study mathematics from Dr. Shiv Sharma, he had a good grasp over his subject. One of the other teachers were Mr. Niket Kumar, a soft skills teacher, who did a great job in making the students prepare for their placement sessions. There were different examinations held over a period of time, and there were multiple assessment submissions as well. We were even asked to write research papers in every subject for us to understand the different topics deeply.

Placement Experience:

Students become eligible for sitting in campus placements from the third semester. There was a strict attendance policy which were to be followed by every student if they wanted to sit for placements. We received emails from the placement coordinators regarding all the opportunities coming our way and the details of the different roles offered by the companies. In my class, almost all the students were eligible to sit for the placements, and 70-80% of them got placed as well. Most of them are still working with those companies. The main demographic location from which the companies came were Chandigarh, Bangalore, Gurugram, Mohali.


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Loan/ Scholarship Provisions:

Currently i am 2nd year Msc Data science student At AIMIT , For me the fees was 140500 Per Year. this fees includes Tuition fees,caution fees ,registration fees,admission fees,development fees,lab fees and the other compulsory charges during the course completion as per category like sc,st . And you can find so many scholorships also such as minority ,ssp,nsp scholorship for karnataka students and also you will get fees concession based on your financial background.And the fees amount should be kept confidential as it varies from person to person .And college will provide wifi for your laptop and so many companies have been tied up with AIMIT . You will have so many opportunities like IT fests .

Faculty:

Here facultys are good .And they are Friendly also .As different people have different opinion , i only don't like one lecture then everyone are good .Msc Data Science consist of 4 Sem, 1st,2nd,3rd sem you will have sem exams and projects ,placements in third sem , The exams are fine not too difficult . In 4th sem you will have domain knowledge project or internship . And during 2nd and 3rd sem beginning you will have Placements training which is good. Nobody Have failed in exams as of my knowledge . Most of them have cleared all the semester . And the curriculum is related to IT industry Only . You Will have do projects and Presenattion , report of the same .


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AG
4.0 /5
Most Helpful

Course Curriculum Overview:

The curriculum was more focused on analysis and algebra subjects which made this course a little theoretical but if that's the case with whole DU. Some subjects like financial mathematics, game theory, calculus made us being interested in the course till end.

Faculty:

There were 60 students in my class out of which only 10-11 were girls and other were boys. We used to have unit exams like class tests and stuff other than half yearly and final examinations. Our financial mathematics and game theory faculty was very good


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Campus Life:

Overall experience with campus life are very good, u will get your many new friends in this campus. You can get many types of foreign and national Journals & many new books in the central library. Sports And extracurricular activites are arrenged in the annual function for the students.

Loan/ Scholarship Provisions:

The year wise fees structure is almost 35000-40000. The yearwise fees includes the tution fees, caution fees, registraton fees, admission fees, dev. fees & the lab fees. If u're from the reserved catagory sometime u can get a less discount. Scholarship are also available for students.


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SB
3.5 /5
Most Helpful

Course Curriculum Overview:

AI is the future and data science is a big aprt of AI that is growing rapidly throghout the world and that is why i have chosen this course. This curriculam prepares you for the world that is come in the near future. Overall evn though the course curriculam was good there should have been more advance teachings and new real world applications.

Faculty:

Some of the faculy members are very good in teaching and communicating. They also help students in their need. But some faculties do not want to interact with students at their need. Overall most of the teachers are good and approachable.


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Faculty:

The faculty to students ratio is very good Every subject had it's own faculty And every faculty has completed it's Master's in their fields Our Department of Data Science is very good faculty In the data science department many of the faculty has PhD degree The faculty interact with students on Saturday mostly The approaching of teaching is based on practical experience and examples

Course Curriculum Overview:

In data science department The course curriculum is best It includes every needed subject in that The improvement can be done on the advanced versions of every subject The difficulty level is high so because of that the learning will be lead to a better understanding.


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Faculty:

The teachers are very very helpful and friendly.They treat you like their child.And help you to get knowledge in differnt areas.They give you motivation to think out of the box and do some extra ordinary.Also they help students to find their interests and work on that field.I have never seen they are compelling to students to do something they are uncomfortable of.Also they help you with your ideas and help you to start your own startups

Internships Opportunities:

Differnt companies like TATA ELXSI,IBM,NOUS INFOTECH,Etc will come with intership opportunities and also students from other colleges can do intership in our department.The teachers are specialised in Deep Learning ,Machine Learning,NLP,Image Processing,etc.And they will help you to get collaboration with institution in their respective field of intership


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RM

Campus Life:

College has a good library ,campus facilities and so on. Miss allsaint union day, food fest, arts day ,sports meet were conducted. Facility of E-library, canteen, cafeteria facilities are provided by college authorities. Monthly once for ensuring mental benefits a councellor was provided by college authorities.

Course Curriculum Overview:

I like the opted course environmental science very much,well organised semester and organized exam are the keyfactor that I attracted most.i think lab facilities should have enhanced.exams are not much difficult according to my perspective


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Course Curriculum Overview:

Course curriculum in vit is very great . It focus not only on the skills but also applying the skills to the real world scenarios. All the course curriculum is based on real world scenario . Which help us to better in the particular field. Mathematic is main in data science.adding basic mathematics in first semester will be more helpful for the student from other departments.

Internships Opportunities:

For data science , the companies like sunshine,federal bank, tcs are coming almost every year for recruitment purposes with different t packages like dream, super dream and regular offer. But we are only the third batch of datascience we don't know that much about these placements. But as per senior information .the placements and internship is average for data science.


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Campus Life:

The overall experience in the University is very very great. The collage life in vit is diversified. not only in studies but also sports events like vitpremire league, pongal celebrations , Annual events and Riveria which is one of the largest event conducted in vit vellore every year in the month of february. and they are celebrating all different kinds of festivals like pongal, holi,new year etc. When it comes to library it is such a great place in vit. it contains lots of books they keep on adding books frequently and they contains more than 60000 books. When it comes to classrooms which contains inbuilt projector with white screen and white board by side for working out. Faculties use their laptops to share their screens and they will take the class . some classes contains a biometric attendance and they started making it in all the classrooms.Apart from stuides there are different clubs and chapters where we can join in different clubs and contribute something in that club.

Course Curriculum Overview:

According to the curriculum it is very very good. In Every specified interval they are updating the course curriculum based on the suggestion from the seniors it is very good. the curriculum is created based on the real world requirements in the field of Data science.it starts from basic of Data science and mathematics to advanced machine learning and deep learning concepts which is very very important for the Data science. SET conference in Every semester helps to apply our knowledge into finding solutions to the real world problems.when it comes to imporvement, some students are from computer science department and they are struggling in solving mathematical concepts. because in Data science mathematics is one of the core subject. if they started with some basic mathematics in first semester then it will be very very great.. The difficulty level of the exams is average . if we prepared well then the exams are absolutely very easy.


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P

Campus Life:

The college infrastructure is super and excellent. My college invovle in many society related programs and sports events. The classrooms with comfortable and eco-friendly environment. My college conduct Gravitas program every year, it is full of student activites, programs, clubs and other extra curricular activities. It is include technical programs, games, Music and Dance.

Course Curriculum Overview:

For my course, the curriculum is correctly for my course. But, the syallabus is little old. And after my acadamic year, the syallabus will be updated by college. And it is very useful for upcoming students.They provide lab practices, webinars with relevant company employers or HR and so on. It is very useful for us. They also provide hackathons.The teaching method is good.


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Course Curriculum Overview:

The course curriculum is very good. And they have set that very well with based on the real world hearbeat. Like there is also one point in vit is we have to do one project in each semester this is the very good thing that happened because we can learn more new things by doing the project in our very own field and apply the things that we have learned in curriculum. The exam difficulty will be medium it will be totally different from the other colleges we are not need to mugup the things we have apply the things and the one thing they can improve is that little bit more in practical things.

Placement Experience:

VIt is known for its 100% placement, But i can say one thing during our batch we faced recession so for our batch the placement is less compared to the previous batch but also in our class some people have place and we are trying to be placed. From final year students are eligible for placements. Amazon, pharmaace, zigram, syngene ,tcs and etc so many more companies have visited and made so many offers the highest package i am not correct with that but it is more than 50lpa. My plans after the degree is job


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AM
3.9 /5

Loan/ Scholarship Provisions:

The fee structure is semester wised. The course fee for a semester is 40,500 and with a exam fee of 2500. The students who doesn't have enough money for paying fees can opt for educational loan. The university provides the neccesary help for the students. The fees here is comparatively lower than the other colleges.

Course Curriculum Overview:

The course covers a large area of major machine learning ,deep learnind,sql,and data visualisation. The course also covers a major portion of sql. And in accordence with there are also labworks. The course curriculum is well organised and accordingly planned ,so that the students can get maximum benifit from it.


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AS

Campus Life:

The social life is average compared to other colleges. There is fest now and then and they conduct dj fests. There is club for literally every thing yet it's not up to notch. Bollywood celebrities celebrate cu as their second house and they visit often. An entire week during even semester is dedicated to cu fest, a university fest which is top notch.

Loan/ Scholarship Provisions:

I had to pay the semester fees amount before the classes commence. The fee is divided into academic fee and examination fee. Examination fee is about 2500 and you cand even write the backlog inclusive this amount. They also provide with loan assistance and even lets you pay the fees like emi.


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ML

Loan/ Scholarship Provisions:

The tution was ?40500 along with ?2000 exam fees per semester. It was a 4 semester program. Campus placement for the department has been not much effective as compared from the other departments. Placement drives are about to be in full swing by April.

Campus Life:

The campus was a vast one and comprised of various departments. The university had every facilities and a top notch. Various arts and sports events were been conducted throughtout the year. Various seminars and event were provided to assist students.


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JD
3.5 /5

Campus Life:

They have a good friendly campus and clubs to help students mingle with others. They have a good fountain and lawn area that lets students rest while socializing. They provide with various fear including the cultural and self improvement possible

Course Curriculum Overview:

Cu provides good faculty alongside up to date curriculum. They teach most demanded tools and services like python power bi sql etc. they give theoretical as well as practical implementation making placement times easy


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PK
5.0 /5

Campus Life:

The campus ife is verey nice and we have many fests The university has verey big library and have the books we require to study for our exams The class is verey good The university has verey big ground and we play every day in the evening

Loan/ Scholarship Provisions:

For this course the actual fee is 250000 but based on my intermediate percentage they have decreased the fee to 200000 I have gained the scholarship 20000 from the side of government All the seniors are getting the jobs in many companies


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D
3.1 /5
Most Helpful

Loan/ Scholarship Provisions:

Fees structure is good enough if you get at least 30% scholarship you can afford this college for getting scholarship you have to give their official exam name whjch named cucat where you can get upto 90% scholarship you can also get scholarship on the basis of twelthe grades or your previous academic grades. If you got 90+ percent in twelth standard you can easily get 90% scholarship but to maintain this scholarship there are some basic criteria which you have to fullfill like you have to get at least 7.5 cpgpa or you have to also attend every lecture at least 75% or there must be no backlogs of yours. Without scholarship the college fees is little higher side yes if you get scholarship you can take admission in this university. Campus job is also good not best if you work on yourself you can get good placement but if yiu are just hanging outside and doing enjoying you did not get any scholarship.

Course Curriculum Overview:

Course curriculum is very difficult the counsellor say that the faculty teach python in first semester but they teach r language which is also fine but i am excited for python that's why i am sharing this. Overall faculty average they are supportive but must faculty is also freshy like me they have very less experience but faculties are very supportive in every field. They solves your all doubts but in some cases they are also confused to answer you they have to research and then they clear your all doubt but ya they accept this thing and never get frustrated with this. Maximum teachers are assistant professor which is okay but as i am pursuing masters at least i can deserve a good professor.


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Master of Science [M.Sc] (Data Science) : 3 answered questions

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Ques. What is the seats for MSC in data science in Fergusson college pune

● Top Answer By Aditi Deshpande on 31 Jul 23

Ans. Fergusson College MSc programs are delivered under 15 specializations some of them being Economics, Animation, Analytical Chemistry, Biochemistry, Biotechnology, etc.  Generally, candidates must hold a Bachelor's degree with a minimum of 50% marks to get admission in the MSc program.  Here are the key highlights of the MSc program at Fergusson College:  Particulars MSc Highlights Duration 2 years No. of specializations 15 Total tuition fee INR 88,130 - INR 1.64 lakh Seats 60 Accepted entrance exam MAH MCA CET Eligibility Graduate degree with 50% Eligibility  Candidates holding a BSc, BCA Science, BE, or BTech degree with a minimum of 50% marks for the open category and 45% marks for the reserved category are eligible. Curriculum  Fergusson College  M.Sc. The Data Science program helps the students inculcate skills that help them pursue a career in the Data Science/IT industry. A few courses of each semester have been mentioned below  Semester 1 Semester 2 Semester 3 Semester 4 Probability and Linear Algebra    Statistical Inference   Machine Learning   Optimization Techniques     Industrial Training / Institutional Project  Statistics  Applied  Mathematical Foundation Big Data Engineering - Data Structures  Mathematical Foundation Deep Learning - Database Management System Practical based on Machine Learning using R Practical based on Deep Learning - Fergusson College placements help the M.Sc. Data Science students step into the world of the Software/Data Science Industry. Before the placements, the students are trained thoroughly to enhance their skills.Read more
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Ques. How to apply for the iit madras msc data science?

● Top Answer By Preeti on 31 May 24

Ans. These are the steps to apply for the IIT Madras MSc Data Science: Visit this portal:  https://admissions.ge.iitm.ac.in/iitm-birmingham   OR  https://ge.iitm.ac.in/birmingham/index.html You can register for this program in the above stated portals. Use your login credentials to start your application form and fill in the required details. Here is the eligibility criteria for admission into MSc Data Science at IITM-  A Bachelor's degree of 3 or more years in Engineering/ Science (in a numerate discipline) from a recognized university.  60% or higher for 2:1 equivalency (1st class) in Bachelor’s. Students graduating in the current academic year are also eligible to apply. They must provide requisite documents during admission.  Numerate degree refers to essentially having the following skills- Anyone who graduated from university with a degree that contains a high concentration of mathematics skills. These degrees include Computer Science, Physics, and Engineering. Other degrees like Astrophysics, Data Science, Decision Science, Econometrics, Engineering, Economics, Mathematics, Operational Research, Physics and Statistics are also acceptable.  English Language criteria   Students who have not completed their degree from a majority speaking English country, as defined by the UKVI will be required to provide evidence of successful completion of a recognised English Language test. Please see the eligibility section for more details-  https://www.gov.uk/student-visa/knowledge-of-english This is the complete detail on the MSc. Data Science program by IIT Madras & University of Birmingham.Read more
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Ques. What are the syllabus for msc data science?

● Top Answer By Tirup Dasgupta on 28 Apr 22

Ans. MSc Data Science program revolves around major disciplines of Calculus, C-Programming, and Descriptive Statistics. Latest technologies such as Python, ML, DL, and Spark are also taught thoroughly in the program.  The semester-wise syllabus for Data Science is as follows. Semester I Semester II Mathematics for Spatial Science Spatial Big Data and Storage Analytics Applied Statistics Data Mining and Algorithms Fundamentals of Data Science  Machine Learning  Python Programming  Advanced Python Programming for Spatial Analytics Introduction to Geospatial Technology  Image Analytics Programming for Spatial Sciences Spatial Data Base Management Business Communication Flexi-Credit Course Cyber Security  - Integrated Disaster Management  - Semester III Semester IV Spatial Modeling Industry Project Summer Project Research Work  Web Analytics - Artificial Intelligence - Flexi-Credit Course  - Predictive Analytics and Development  - There are electives as well which you need need to choose to complete your credits. Usually, the electives on offer for Data Science are as follows. MSc Data Science Electives  Deep Learning  IOT Spatial Analytics System Dynamic Simulation Spatial User Interface Design and Implementation Genomics  Research Modeling and Implementation Multivariate Analysis Programming for Data Science  Stochastic Process  Hadoop Image and Video Analytics  Internet of Things  Exploratory Data Analysis  Identification of Data Collection Python Programming, Deep Learning, R Programming, Cloud Programming, Multivariate Analysis are some of the common Data Science subjects. Read more
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