Master of Science [M.S] (Business Analytics)
Field of Study:
$19,786 /Yr
- This course deals with optimization methods that help in decision-making. It will cover a broad range of relevant quantitative techniques for decision-making. Each technique will be motivated using important applications and discussed along with some relevant theory.
- The main focus on formulating and solving problems. Specific topics/techniques will include linear, quadratic, nonlinear, and integer programming. The course will use python extensively.
- Learn how to harness vast amounts of data and use it to inform business decision-making.
- Students learn to harness "Big Data" and use it to develop more effective business practices and strategies.
- Students participate in the Business Analytics Capstone course. This unique course brings together database management, data analysis techniques, and business decision-making to solve a problem for a real-world client.
- This course will involve the study of a variety of machine learning techniques for predictive analytics. Particular emphasis will be given to approaches that are scalable to very large data sets and/or those that are relatively robust when faced with a large number of predictors, and algorithms for heterogeneous or streaming data.
- Many of these capabilities are essential for handing BIG DATA. Connections to relevant business problems shall be made via example studies. We will mostly be using Python (especially Scikit-Learn). The central goal of this course is to convey an understanding of the pros and cons of different predictive modeling techniques so that you can (i) make an informed decision on what approaches to consider when faced with real-life problems requiring predictive modeling, (ii) apply models properly on real datasets so to make valid conclusions. This goal will be reinforced through both theory and hands-on experience.
- Learn Supply Chain Management (SCM) is the management of activities governing the flow and transformation of resources from initial suppliers to ultimate consumers to make goods and services available at the right time, place, price, and condition in the most profitable and cost-effective manner. In this course, we will consider analytics applied to important problems found in the management of supply chains. The first half of the course introduces the context for the application of analytics in operations. The second half of the course addresses the use of analytics in supply chain management.
Important Dates
Event | Application Date |
---|---|
Application Deadline For 2025 Intake | Jan 10, 2025 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $19786 |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Housing and Food | $17300 |
Transportation | $1740 |
Books and supply | $776 |
Total Cost | $19816 |
Eligibility & Entry Requirement
Academic Eligibility:
- Students have to complete a science bachelor’s honors degree in computer science or a highly related discipline.
- Cambridge Certificate of Advanced English (CAE) or B1 Advanced – 185.
- Cambridge Certificate of Proficiency in English (CPE) or B2 Proficiency – 185.
- Or, bachelor's (4-year, honors degree) or equivalent from a recognized degree-granting institution.
- GPA of at least 3.0/4.33 (B grade) in the last 2 years of study is required to be eligible for this program.
- Students must be qualified in IELTS or TOEFL and PTE to get admission in this program.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Completed a 4-year UG degree with first class in a relevant field from a recognized institution
- Or, completed graduation in B.Sc.(H) Computer Science or B.Sc. Applied Physical Sciences with Mathematics and Computer Science.
- Or, completed a B.Sc (General) degree from a recognized institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
Scores Required
Required Document List
- Official transcripts from all secondary and post-secondary schools attended
- Two letters of recommendation.
- Passport-sized photo
- Personal statement
- Resume/CV
- Non-refundable application fee
- Evidence of competence in English .
- Complete application form.
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Career and Placement after Course
Career Opportunities:
- Supply Chain Analyst
- Business Analyst
- Marketing Analyst
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Innovation in Education Scholarship - La Tutors 123 | Scholarship per student$ 500/Yr$500 | Level Of StudyBachelor | TypeMerit-Based | |
(ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
ASID Foundation Legacy Scholarships | Scholarship per student$ 4,000/Yr$4,000 | Level Of StudyBachelor | TypeMerit-Based | |
University of Alabama Scholarships | Scholarship per student$ 6,000/Yr$6,000 | Level Of StudyBachelor | TypeCollege-Specific | |
QS Connect Master’s Scholarship | Scholarship per student$ 5,000/Yr$5,000 | Level Of StudyMaster | TypeMerit-Based |
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