MBA (Business Analytics) - Energy Analytics
DETAILS
Duration of Program 2 years (4 Semesters)
Seats 30*
*Total Seats in MBA (Business Analytics)
Energy analytics is an interdisciplinary area applying techniques and methodologies of engineering management, economics, statistics, and electrical engineering to solve real-world analytical problems in the energy industry. The course covers major energy-related applications of descriptive, predictive, and prescriptive analytics. It includes areas such as energy data analysis, load forecasting, price forecasting, renewable generation forecasting, energy trading and risk management, demand response and customer analytics, and utilities outage analytics.
Co-Delivered Courses by Industry Partners
DESIGN YOUR OWN DEGREE
UPES’ curriculum framework is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. Along with the core subject, students have the option to choose from subject-focused specialisations. They are also allowed to choose minor/exploratory subject from other schools at UPES that are: School of Engineering, School of Computer Science, School of Law, School of Business, School of Health Sciences, School of Design, School of Modern Media, and School of Liberal Studies.
Further, based on the multifaceted needs of the global workplace and evolving lifestyles, the curriculum offers Signature and Life-Skills courses through School for Life. To round off this learning experience, students are required to do mandatory internships in the social sector, government/public sector, and industry. The combinations available for students to pick and choose from are endless, ensuring both depth and width of knowledge.
- Analysts
- Operators
- Planners
- Managers
- 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 | 14 June 2022 | 2 hrs | 12 June 2022 |
Admissions are 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 a minimum MAT /CMAT 2022 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 the above score of CAT 2021/ XAT 2022 A score of minimum 400 or above for GMAT, a score of 120 and above in NMAT 2021 / 22 scores will also be accepted.
**Up to 30% of seats shall be filled through the 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).
Course Credits
| Course | Credits | Percentage |
|---|---|---|
| Major Foundation | 30 | 29% |
| Major Core | 32 | 30% |
| Specialization | 6 | 6% |
| Dissertation | 6 | 6% |
| Life Skills | 10 | 10% |
| Signature | 9 | 9% |
| Minor/Exploratory | 9 | 9% |
| Internships and Industry Visit | 3 | 3% |
| Total | 105 | 100% |
| SFLI Total | 28 | 27% |
SEMESTER I
| Subject Code | Subject | Credits |
|---|---|---|
| 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 |
| SLICL02 | Living Conversations | 2 |
| TOTAL | 28 |
SEMESTER II
| Subject Code | Subject | Credits |
|---|---|---|
| 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 |
| Minor/Exploratory I | 3 | |
| TOTAL | 33 |
SEMESTER III
| Subject Code | Subject | Credits |
|---|---|---|
| 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 |
| DIST 8101 | Dissertation-I | 2 |
| SLICL04 | Design Thinking | 2 |
| SLICS02 | Ethical Leadership in the 21st Century (Human Values and Ethics) | 3 |
| Minor/Exploratory II | 3 | |
| TOTAL | 24 | |
| Specialization 1 | ||
| Energy Analytics | ||
| DSBA 8007 | Overview of Energy Analytics | |
| DSBA 8001 | Data Visualization |
SEMESTER IV
| Subject Code | Subject | Credits |
|---|---|---|
| DSBA 8009 | Social & Web Analytics | 2 |
| DSBA 8003 | Predictive Modeling | 3 |
| DSBA 8004 | Programming for Analytics | 3 |
| DIST 8102 | Dissertation-II | 4 |
| SLICS03 | Environment and Sustainability - Himalaya Fellowship | 3 |
| SLICL05 | Working with Data | 2 |
| Minor/Exploratory III | 3 | |
| TOTAL | 20 |
Specialization 1
| DSBA 8007 | Overview of Energy Analytics |
| DSBA 8001 | Data Visualization |
Life Skills
| Life Skills | Credits | |
| 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 |
Signature
| Signature | Credits | |
| 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 |
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