Duration of Program 2 years (4 Semesters)
*Total Seats in MBA (Business Analytics)
This course deals with the inter-combination of statistics and computer science with an aim to extract patterns of information from given raw data (unprocessed data) and transform the data to provide meaningful information for business use. It covers the concepts of machine learning used as data mining techniques and touches upon the differences between data science and data mining. Students will be able to use the different data mining techniques such as association, clustering, and use different data mining applications such as market basket analysis and customer relationship management.
Co-Delivered Courses by Partner Industries
The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.
The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.
SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.
- Data Scientist in multi-national corporations
- Quantitative Analyst roles in investment banking units
- Consultant or Senior consultant roles
- Big Data Analyst
- Data Warehousing Expert
- Business Intelligence Expert
- Data Mining Expert
- Candidates can pursue higher studies
- Minimum 50% marks in Classes X, XII and Graduation.
- Graduation From a recognized University in any stream
Admissions through UPES Management Entrance Test (UPESMET)
Online Exam/National Level Exams followed by Personal Interview
Schedule for UPES Management Entrance Test (UPESMET):
|Name of Program||Mode of Test||Date of Test||Duration||Last Date to Apply|
|MBA (All Streams)||Online||28-30 Jan 2022||2 hrs||24 Jan 2022|
Admissions Open against vacant seats only.
UPES reserves the right to conduct further online/paper pencil mode exams for admission to various MBA programs in addition to the date already announced.
Admissions through National Level Tests
Students having minimum MAT /CMAT 2021 score of 70 Percentile will be exempted from UPES Management Entrance Test and will only be called for Group Discussion and Interview if qualified. Valid 50 percentile and above score of CAT 2020/ XAT 2021 A score of minimum 400 or above for GMAT, a score of 120 and above in NMAT 2020 / 21 scores will also be accepted.
**Upto 30% seats shall be filled through National Level Tests category (CAT/MAT/XAT/NMAT). In case candidates for such seats are not available, UPES has the right to fill these seats through MBA (UPESMET).
|Internships and Industry Visit||3||3%|
|HRES 7002||Management Principles and Organisational Behaviour||3|
|FINC 7010||Accounting for Managers||3|
|ECON 7006||Managerial Economics||3|
|MKTG 7001||Marketing Management||3|
|DSQT 7001||Quantitative Methods||3|
|HRES 7004||Business Communication||3|
|DSBA 7002||Data Environment||3|
|DSBA 7001||Business Modelling with Spreadsheets||3|
|SLICL01||Learning How to learn||2|
|HRES 7007||Human Resource Management||3|
|FINC 7019||Financial Management||3|
|DSRM 7002||Business Research Methods||3|
|DSQT 7002||Operations Research||3|
|DSBA 7004||Data Management||3|
|DSBA 7005||Business Analytics||3|
|DSBA 7006||Business Intelligence||3|
|Specialization Paper I||3|
|SLICS01||Critical Thinking and Writing||3|
|INDT 7101||Industrial Visit||1|
|SLICL03||Leadership and Teamwork||2|
|STGM 8001||Strategic Management||3|
|DSBA 8006||Supply Chain Analytics||3|
|DSBA 8002||Big Data Analytics||3|
|Specialization Paper II||3|
|SIIB 8101||Summer Internship||2|
|SLICS02||Ethical Leadership in the 21st Century (Human Values and Ethics)||3|
|DSBA 8007||Overview of Energy Analytics|
|DSBA 8001||Data Visualization|
|DSBA 8009||Social & Web Analytics||2|
|DSBA 8003||Predictive Modeling||3|
|DSBA 8004||Programming for Analytics||3|
|SLICS03||Environment and Sustainability - Himalaya Fellowship||3|
|SLICL05||Working with Data||2|
|DSBA 7008||Overview of Data Mining|
|HRES 2011||Business Process Management|
|Learning how to learn||2||Life Skill I|
|Living Conversations||2||Life Skill II|
|Leadership and Teamwork||2||Life Skill III|
|Design Thinking||2||Life Skill IV|
|Working With Data||2||Life Skill V|
|Critical Thinking and Writing||3||Signature 1|
|Ethical Leadership in the 21st Century (Human Values and Ethics)||3||Signature II|
|Environment and Sustainability - Himalaya Fellowship||3||Signature III|