PG Diploma in data science is a 10-month - 2 years duration course that provides specialised training in data science and data analytics, which is used in computational and biological sciences.
A PG Diploma in data science provides a faster path to complete a qualification, less financial investment than a college degree, and enter the workforce than a bachelors’ or master’s degree in Data Science. The need for data scientists is growing, yet the supply is inadequate. It is the fastest growing career on Linkedin, with 11.5 million positions expected to be created by 2026.
NMIMS Mumbai, Chandigarh University, IIIT Lucknow are the top colleges that offer PG Diploma in Data Science. The placements at NMIMS Mumbai record average salaries up to INR 15 lakhs. According to their research, the national average income for a Data Scientist in India is INR 6,50,000, while the national average income in the United States is $1,20,931.
2.1 What is a PGD Data Science Course About?
2.2 Why pursue PGD Data Science?
3.1 PGD Data Science Eligibility
3.2 PGD Data Science Admission
3.3.1 Entrance Exam Schedule
3.3.2 PG Diploma in Data Science & Analytics Exam
3.3.3 Joint Admission Test
4.1 PGD Data Science: College Comparison
4.1.1 Chandigarh University vs Symbiosis Pune
4.1.2 SRM Chennai vs NMIMS Mumbai
6.1 PGD Data Science: Important Books
7.1 Top Recruiters
7.2 Job Profiles
PG Diploma in Data Science: Quick Facts
- PG Diploma in data science admissions are made on the basis of merit, which is determined by a student's graduation grade.
- To be admitted to this course, the candidate must have a bachelor's degree in the relevant discipline and some job experience.
- The average fee charged for the course: The typical course price ranges from INR 10,000 to INR 60,000. Private institutions may charge higher fees of up to 1.5 lac.
- Dual degrees offered (if any): The Student pursuing Post graduation in Data science can apply for the dual degree in Big data, Data Analytics, Machine Learning, Artificial Intelligence (AI), Search engine engineering, and Corporate analytics.
- Duration of the course: A postgraduate programme in Data Science lasts a few months, ranging from 6 to 12 months, and it teaches you about different data methodologies.
- Subjects taught: This course is aimed to teach candidates Data Science methodologies and expose them to the methodologies used for data administration, processing, and interpretation. It is a certification course that is offered in both offline and online formats.
- Future prospects of the course: The PGP in Data Science provides up new job prospects and strengthens the resume of every working professional. Work as a data analyst, data scientist, business analyst, data engineer, and so on.
- After successfully completing this course, a candidate may pursue an MSc in Data Science or Data Analytics as further studies. The average salary offered to Data scientists is 5 lakhs per year.
About PG Diploma in Data Science
The important statistics and facts related to the increasing demand of PG diploma in data science, and data science as a career in broader picture, are discussed below:
Also Check: How to Become a Data Scientist
PG Diploma in Data Science: What is it About?
- Data science is an interdisciplinary subject that employs scientific techniques, procedures, algorithms, and systems to extract information and insights from structured and unstructured data, and then applies that information and actionable insights across a wide range of application areas.
- Data science is connected to data mining, machine learning, and big data. It employs techniques and theories from a variety of disciplines, including mathematics, statistics, computer science, information science, and domain expertise.
- Data science, on the other hand, is distinct from computer science and information science.
- A Postgraduate Diploma in Data Science is a part-time certification course taken by a working professional to improve the skill set of methodologies and tools utilised in a company's analytical and statistical operations.
- The Postgraduate Diploma in Data Science is a postgraduate degree programme that provides specialised training in Analytical Statistics, which is used in computational and biological sciences.
- It is available both online and offline as a part-time study lasting 6 to 12 months.
- The course's goal is to assist students build statistical programming skills that will lead to a career in business.
- The two-year Postgraduate Diploma in Data Science degree programme teaches students how to develop solid methodological foundations in analytical statistics, how to conduct statistical consultations, and how to employ various approaches, skills, and tools.
- After successfully completing this course, a candidate not only expands their working resume, but also opens doors to positions such as Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager, and so on.
Why Pursue PG Diploma in Data Science?
Here are some of the reasons why one should pursue a post graduate diploma in Data Science:
Demand in market
Data Scientist is a job that is generating a lot of buzz due to the high demand for it all around the world. According to a McKinsey & Company research, the United States will have 140,000 to 180,000 fewer data scientists than it needs by 2018. The need for data science is growing, yet the supply is inadequate. In comparison to engineers and chartered accountants, India would require over 200,000 data scientists by 2018. It is the fastest growing career on Linkedin, with 11.5 million positions expected to be created by 2026. As a result, Data Science is a highly employable career field.
Good salary
As per Glassdoor, data science was the top paying field to enter in 2016. According to their research, the national average income for a Data Scientist in India is INR 6,50,000, while the national average income in the United States is $1,20,931. In Europe, the national average income for a Data Scientist is €52,000. As a result, Data Science is a highly rewarding career option.
Value to the Business
They are thriving in every industry, from information technology to health care, E-commerce to marketing and retail. Because data is a company's most precious asset, Data Scientists play a critical role in serving as a trusted consultant and strategic partner to management. They mine the data for important resources that will aid in the refinement of their niche, identification of the ideal target audience, and management of future marketing and growth initiatives.
Evolving Field
Because of the growing demand for data all around the world, data science is rapidly advancing. Data scientists have a wide range of skill sets that may be used to assist firms make better strategic decisions by leveraging data and information. They are given fascinating possibilities to work with and experiment with data in order to develop viable solutions for organisations. Many new and exciting fields are emerging within this field, such as Big Data, Artificial Intelligence (AI), Machine Learning (ML), and some newer technologies such as Blockchain, Edge Computing, Serverless Computing, Digital Twins, and others that use various practises and techniques within the Data Science industry.
Data Science is Versatile
Data Science has a wide range of applications. It is often used in the health-care, banking, consulting, and e-commerce businesses. Data Science is a broad discipline with several applications. As a result, you will have the possibility to work in a variety of sectors.
Data Science can Save Lives
Data Science has considerably enhanced the healthcare sector. The use of machine learning has made it simpler to detect early-stage cancers. In addition, several other health-care companies are utilising Data Science to assist their consumers.
Data Science Makes Products Smarter
Data Science entails the use of Machine Learning, which has allowed enterprises to build better goods that are especially suited to user experiences. E-commerce websites, for example, employ Recommendation Systems to deliver customised insights to consumers based on their previous purchases. As a result, computers can now understand human behaviour and make data-driven judgments. Data Science has aided a variety of businesses in automating unnecessary operations. This has simplified the formerly difficult tasks performed by people.
PG Diploma in Data Science: Admission Process
- Some colleges give admission on the basis of marks in bachelors degree while some colleges have their own entrance exam.
- There is no set approach for admissions to the Postgraduate Diploma in Data Science. Some courses need a bachelor's degree in the relevant specialisation, while others do not. Some courses, however, require an applicant to have some job experience, a letter of recommendation from a professor with a bachelor's degree, and pass a linguistic exam.
PG Diploma in Data Science: Eligibility
Postgraduate diploma Data Science courses are accessible as a path of specialty in Engineering, Computer Science, and Management. Bachelor's degree with at least 50 percent marks in aggregate or equivalent, preferably in Science or Computer Science from a recognised university, is the minimum qualifying criterion.
Some of the qualifying requirements that must be satisfied in order to be considered for admission to the PGD Data Science programme are as follows:
- Bachelor’s degree with Statistics and computer programming expertise (BE/B.Tech/MCA/M.Sc/DOEACC).
- Candidates who have taken the final semester exam and are awaiting results may also apply. They must, however, submit proof of completion of all semester examinations/final degree when the course is completed. If this is not the case, a certificate will not be issued.
- On the date of counseling/admission, the candidate must produce the original mark lists up to the last test of evaluation.
- Several institutes take into account work history as part of the admissions procedure.
- letters of recommendation may also be required for admission to a postgraduate programme in data science.
PG Diploma in Data Science: Entrance Exams
Some college have a entrance exam for selection of students and checking their knowledge in the field of course ie. Data science.
PG Diploma in Data Science: Entrance Exam Schedule
| Exam Name | Conducting Body |
|---|---|
| PG Diploma in Data Science & Analytics Exam | Examination Section, National Institute of Electronics & Information Technology,Chennai |
| Joint Admission Test | IISC, Bangalore |
PG Diploma in Data Science & Analytics Exam
After successfully completing all courses, including the mini-project, PG Diploma certificates will be awarded. A candidate must pass each module independently in order to receive a PG Diploma certificate.
A minimum of 75% is required to appear in the test. Each module is worth 100 points. The following is the examination scheme for each module:
| Theory | Mode: Online and Multiple Choice Question Total Marks: 50 Number of Questions:50 Duration: 01 Hour Negative Marking: 25% |
| Practical | Total Marks: 30 Number of Questions: 02 Duration: 01 Hour |
| Class Performance | Total Marks:10 Attendance:10 |
All the questions are Multiple choice based only. Final grading will be assigned based on total marks received in all modules, using the grading methodology outlined below. The final module grade will be based on project demonstration.
| Grade | Marks |
|---|---|
| S | 85% and above. |
| A | 75% – 84% |
| B | 65% – 74% |
| C | 55% – 64% |
| D | 50% – 54% |
| Fail | < 50% |
Top PG Diploma in Data Science Colleges
In India, there are over 470 Data Science colleges. In India, over 85% of Data Science colleges are private, 13.5 percent are government, and 1.5 percent are public-private partnerships. The most varied employment alternatives are Data Science universities. Today, data science has had a significant influence on a variety of businesses. It's a cutting-edge technology that's needed in practically every industry.
| India Today Ranking | College Name | Average Annual Fees (INR) | Average Placement Offer (INR) |
|---|---|---|---|
| 1 | Indian Institute Of Technology Madras - [IITM], Chennai | 55,000 | 8 lac |
| 92 | Narsee Monjee Institute Of Management Studies - [Nmims Deemed To Be University], Mumbai | 1,60,000 | 15 lac |
| 51 | Sri Ramachandra Institute Of Higher Education And Research (SRIHER), Chennai | 1,25,000 | 8 lac |
| 52 | Chandigarh University (CU) | 60,000 | 10 lac |
| 30 | Kalinga University, Raipur | 76,000 | 2.5 lac |
| 62 | NIMAS Kolkata | 1,49,000 | 8 Lac |
| 35 | Kanya Mahavidyalaya - [KMV], Jalandhar | 1,00,000 | 4 lac |
PG Diploma in Data Science: College Comparison
The sections below compare premier PG diploma in data science colleges on the basis of several parameters such as NIRF Ranking, NAAC score, placement records, average fee charged, ownership, etc.
Chandigarh University vs Symbiosis Pune
| Parameters | Chandigarh University | Symbiosis Center Of Information Technology |
|---|---|---|
| NIRF Ranking | Not ranked | Not ranked |
| NAAC score | A+ | - |
| Average salary | 6 lakhs | 4 lakhs |
| Established year | 2012 | 1999 |
| Ownership | Private | Private |
| Mode | Online | Full time |
| Duration | 2 years | 2 years |
| Eligibility | Bachelor's degree in B.A./BCA/B.Sc. (Statistics or Mathematics or Computer Science) /B.E/B.Tech OR an equivalent undergraduate degree in any one of the following subjects Computer Science/ Mathematics/ Statistics with at least 50% marks in aggregate. | Graduate with a minimum of 50% marks or equivalent grade from any recognised University (45% marks or similar grade for Scheduled Castes/Scheduled Tribes). Mathematics should be made a compulsory subject in the 12th grade. |
| Entrance exam | - | SNAP |
| Fees | INR 35,000 | 12 lakhs |
SRM Chennai vs NMIMS Mumbai
| Parameters | SRM Institute Of Science And Technology, Chennai | Narsee Monjee Institute Of Management Studies |
|---|---|---|
| NIRF Ranking | 19 | Not ranked |
| NAAC score | A++ | - |
| Average salary | 11 lakhs | 8 lakhs |
| Established year | 2002 | 2008 |
| Ownership | private | private |
| Mode | Full time | Part time |
| Duration | 2 years | 1 years |
| Eligibility | A candidate must have a B.E. / B.Tech. in CSE / IT / SWE (or) M.Sc. (CSE / IT) (or) MCA (or) its equivalent from a recognised university with a minimum aggregate of 50%. | Prerequisites include knowledge of mathematics or statistics at the 10+2 level, as well as an overall grade point average of 55 percent through graduation. Executives with at least two years of experience are eligible to apply. |
| Entrance exam | GATE/ SRMJEEE PG | - |
| Fees | 4 lakhs | 5 lakhs |
PG Diploma in Data Science Online
There are many online academies providing online courses related to data science. Here are some of the them:
| Name of the Course | Provider | Duration | Fee |
|---|---|---|---|
| PG Diploma in Data Science (Distance Learning Program) | Symbiosis Centre of Distance Learning | 2 years | INR 50,000 |
| Post Graduate Diploma in Data Science (Off-campus) | IIIT Lucknow | 12 months | INR 75,000 per semester |
| Postgraduate Diploma In Data Science – PGDDS (Full-Time) | Jigsaw Academy | 11 months | Not available |
| PG Diploma In Data Science (Part-time) | IMS Pro School | 10 months | INR 1,40,000 |
PG Diploma in Data Science: Syllabus
Because Data Science Courses are available at multiple levels and in a wide range of specialties, the Postgraduate Diploma in Data Science course syllabus may differ from one college to the next.
Check: Data Science Courses Syllabus
There is, however, a list of common data science disciplines that are covered in all Postgraduate Diploma in Data Science courses:
| Semester I | Semester II |
|---|---|
| Introduction to data science | Python |
| Mathematics and Statistics | Data Analysis |
| Database Management Systems | Data Wrangling |
| Statistical Foundations for Data Science | Data Visualization |
| Machine Learning Algorithms | Exploratory Data Analysis |
| Business Communication | Data Mining and predictive analytics |
| Data Analytics using SQL & Excel | Business Analytics using SAS |
| Analytics with R & Tableau | Predictive Analytics and Segmentation using Clustering |
| Data Structures and Algorithms | Business Acumen & Artificial Intelligence |
| Scientific Computing | Information Technology |
| Experimentation, Evaluation and Project Deployment Tools | Time Series Model |
PG Diploma in Data Science: Recommended Books
A few of the books that should be read for the Postgraduate Diploma in Data Science course are as follows:
| Books | Authors |
|---|---|
| Python Data Science Handbook | Jake VanderPlas |
| Think Python | Allen B Downey |
| R for Data Science | Garret Grolemund and Hadley Wickham |
| Advanced R | Hadley Wickham |
| Introduction to Statistical Learning | Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani |
| The Elements of Statistical Learning | Trevor Hastie, Robert Tibshirani, Jerome Friedman |
| Understanding Machine Learning- From Theory to Algorithms | Shai Shalev-Shwartz and Shai Ben-David |
| Mining of Massive Datasets | Jure Leskovec, Anand Rajaraman, Jeff Ullman |
| Deep Learning | Ian Goodfellow, Yoshua Bengio, and Aaron Courville |
| Bayesian Methods for Hackers | Cam Davidson - Pilon |
| Data Analytics Made Accessible | Anil Maheshwari |
| Discrete Mathematics and its Applications | K. H. Rosen |
| Computer Networking: A Top-Down Approach Featuring the Internet | James F.Kurose and Keith W.Ross |
| Pattern Recognition and Machine Learning | Christopher Bishop |
| Operating System Concepts | Silberschatz, P.B. Galvin and G. Gagne |
PG Diploma in Data Science: Job Prospects and Career Options
Postgraduate Diploma in Data Science is a part-time certification programme that helps data science professionals to boost their resumes and learn new skills. Some private firms, on the other hand, recruit employees for positions such as Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager, and so on. The sections below discuss most popular employment roles, along with the average compensation for each job profile.
Top Data Science Recruiters
Data Scientists are the most in-demand skilled professionals in today's world, not only in the Information Technology industry, but also in Finance, Insurance, Banking, Marketing & Sales, Consumer Goods, Electronics, Heavy Industries, and all other sectors, as they all require someone to crunch the numbers for them.
Companies may not only raise their income, grow their client base, give higher customer happiness, and save costs with the aid of Data Science, but they can also get an advantage over their competitors.
| Companies Hiring Data Scientists | ||
|---|---|---|
| MachinePulse | The Smart Cube | |
| Fractal | Amazon | Novartis |
| Fractal Analytics | JP Morgan Chase | Capital One |
| RBS | ICICI Bank | Flipkart |
| Kotak Mahindra | Accenture Consulting | KPMG |
| Yahoo | Tumblr | |
| Tredence | Cartesian Consulting | Quantium Analytics |
| Deloitte | HSBC | Credit Suisse |
| Barclays | Axis Bank | E-bay |
| Expedia | AT Kearney | CRISIL |
| Microsoft | Mu Sigma | |
| BRIDGEi2i | Flytxt | Tata iQ |
| Citi Bank | Deutsche Bank | Nomura |
| HDFC Bank | Yes Bank | Snapdeal |
| Make My Trip | E&Y | Walmart Labs |
| ZS Associates | ||
| Brillio | Bank of America | Mercedes Benz Research and development |
Job Profiles with Description
| Job Profile | Job Description | Average salary in INR |
|---|---|---|
| Data Scientist | Data scientists use computer languages such as SAS, R, and Python to clean and organise scientific data acquired for a specific purpose. They are necessary for extensive research and assist app developers in generating data definitions for specific data, extracting essential data, and designing the blueprint and methodology to be employed. | 6 lakhs |
| Data Architect | Data architects provide the framework for the company's next data science project. This comprises gathering, collecting, centralising, preserving, and securing the data source from all data management systems and technologies employed. In a nutshell, they are responsible for ensuring that data is available, stable, and safe. | 18 lakhs |
| Data engineer | Data engineers create algorithms, prototypes, and conceptual models based on data architects' blueprints. Their primary role is to supply accurate data to statisticians and data analysts for analysis. | 5 lakhs |
| Data Analyst | A Data Analyst, as the name implies, is responsible for analysing provided data in order to derive essential insights needed for a certain project. The work entails recognising patterns and developing predicting models based on data obtained. He is also needed to provide the data and conclusions in an understandable way, such as graphs, charts, reports, dashboards, and so on. | 4 lakhs |
| Statistician | The Statistician gathers, analyses, and interprets quantitative data using statistical theories and procedures. Their work responsibilities include designing data collection strategies and determining what data are required to address specific challenges. | 4 lakhs |
| Database Administrator | A database administrator's (DBA's) role is to guarantee that the database is safe, accessible to all relevant users, and working correctly at all times. To store and organise data, the DBA use specialised software. | 5 lakhs |
| Business Intelligence Analyst | They transform the data set into usable information that will help the company become more efficient and lucrative. | 3 lakhs |
PG Diploma in Data Science: Future Scope
Postgraduate Diploma in Data Science provides a variety of job prospects. It is beneficial for working professionals who wish to improve their abilities and boost their compensation. Here are a few benefits of Postgraduate Diploma in Data Science for the future:
- After completing the Postgraduate Diploma in Data Science, you will be able to work as a Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager, and so on.
- It improves the resume's quality, which might assist an applicant land a position with higher chances and pay.
- After completing the Postgraduate Diploma in Data Science, any applicant can pursue a Master's Degree in Data Analytics or data science.
- The e-commerce business is thriving only because of data scientists who analyse data and generate personalised suggestion lists in order to provide excellent results to end-users.
- A data scientist is needed in the transportation industry to examine data generated by passenger counting systems, asset management, positioning systems, fare collection, and ticketing.
- Because the healthcare industry generates so much data on a daily basis, there is a high demand for data scientists. Any inexperienced applicant will be unable to handle a vast volume of data. Hospitals must maintain track of patients' medical histories, bills, staff personal histories, and a variety of other details. Data scientists are being employed in the medical industry to improve data quality and safety.
PG Diploma in Data Science: FAQs
Ques. Which is more effective, data science or data analytics?
Ques. Which is the finest institute to study Data Science?
Ques. What is the distinction between a Master's degree in data science and a PGP in data science?
Ques: Is PG diploma in data science equivalent to Masters?
Ques: How is Upgrad PG diploma in data science program?
Ques: Does PG Diploma in data science have any value?
Ques: Can I do a PhD after a PG diploma in data science?
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