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M.Sc.
Business
Analytics
M.Sc. Business Analytics is a five-semester Work Integrated Learning Programme designed for working professionals, who are aspiring for rapid career progression in the high-growth areas of Business Analytics and Big Data.
SALIENT FEATURES
Pursue your ambition without a pause
Learn without a career break by attending instructor-led online lectures from any location.
Interact with BITS Pilani faculty
Engage with experts using interactive, technology-enabled virtual classrooms.Industry relevant curriculum
Programmes integrate modern academic content with evolving requirements of the workplace.
Experiential Learning
Benefit from Case Studies, Simulations, Virtual Labs and Remote Labs that allow learners to apply concepts to simulated and real-world situations.
Anytime Digital Learning
Learn at your own pace through any-time access to engaging content such as lecture videos by experts, lab simulations and other learning material.
Dissertation/ Project Work
Apply knowledge and concepts to address complex, real-world business issues.
Continuous Assessment
Get regular feedback and assessment through graded Assignments/ Quizzes and Mid-Semester & Comprehensive exams.
What will you learn
What will you learn
Upon completion of this programme, the participants will be able to effectively apply:
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Apply statistical data analysis and other decision science techniques to effectively solve real world business problems.
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Objectively analyse alternatives using quantitative techniques.
Apply cutting edge tools and technologies to analyse Big Data
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Develop appropriate algorithms using machine learning techniques to solve business problems
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Be able to effectively communicate the results of the analysis using appropriate data visualization techniques
ELIGIBILITY
eligibility criteria?
Working professionals holding B.Sc./ M.Sc./ B.E./ MCA/ MBA or equivalent are eligible to apply. Applicants with other qualifications such as B.Com. etc. may apply provided they have done a basic mathematics/ statistics at both 10+2 and Undergraduate level. All candidates should have a minimum one year of relevant work experience.
DURATION
DURATION
5 Semesters
SALIENT FEATURES
Pursue your ambition without a pause
Learn without a career break by attending instructor-led online lectures from any location.
Interact with BITS Pilani faculty
Engage with experts using interactive, technology-enabled virtual classrooms.Industry relevant curriculum
Programmes integrate modern academic content with evolving requirements of the workplace.
Experiential Learning
Benefit from Case Studies, Simulations, Virtual Labs and Remote Labs that allow learners to apply concepts to simulated and real-world situations.
Anytime Digital Learning
Learn at your own pace through any-time access to engaging content such as lecture videos by experts, lab simulations and other learning material.
Dissertation/ Project Work
Apply knowledge and concepts to address complex, real-world business issues.
Continuous Assessment
Get regular feedback and assessment through graded Assignments/ Quizzes and Mid-Semester & Comprehensive exams.
The last date to submit application forms is December 13, 2017
PROGRAMME HIGHLIGHTS
- 1
The programme offers exposure to state-of-the-art data analysis/ visualization tools such as R, SAS, Python and Tableau
- 2
Practitioner-oriented insights from industry experts will help you develop solutions to real world problems using cutting edge analytical techniques
- 3
The programme is of five semesters, with online classes conducted mostly on weekends or after-business hours
- 4
Semesters 1 - 4 cover four courses each. The 5th semester covers Dissertation/ Project Work
- 5
The Dissertation/ Project Work in the final semester enables learners to apply concepts and techniques learnt during the programme
- 6
The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such as system provides timely and frequent feedback and helps busy working professionals stay on course with the programme
- 7
The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work integrated activities