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MBA in Business Analytics at University of Petroleum and Energy Studies
Dehradun, Uttarakhand
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About the Specialization
What is Business Analytics at University of Petroleum and Energy Studies Dehradun?
This Business Analytics program at University of Petroleum and Energy Studies focuses on equipping students with advanced analytical skills to transform data into actionable business insights. In the rapidly digitizing Indian economy, the ability to interpret vast datasets is critical for strategic decision-making across sectors like finance, retail, and manufacturing. This program differentiates itself by integrating cutting-edge analytical tools and methodologies with a strong foundation in management principles.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the burgeoning field of data science and analytics, offering a robust foundation. It also caters to working professionals looking to upskill in data-driven strategies, enhancing their career trajectories within their existing domains. Career changers from traditional roles aspiring to transition into analytics will find the curriculum comprehensive, requiring a keen interest in quantitative analysis and problem-solving.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Business Analysts, Data Scientists, Analytics Consultants, and Market Research Analysts within leading Indian and multinational corporations operating in India. Entry-level salaries can range from INR 6-10 LPA, with experienced professionals earning significantly more (INR 15-30+ LPA). The program aligns with industry demand for professionals skilled in tools like Python, R, Tableau, and Power BI, fostering strong growth trajectories.
Student Success Practices
Foundation Stage
Build a Strong Quantitative Foundation- (Semester 1-2)
Focus on mastering core subjects like Business Statistics and Managerial Economics. Regularly solve quantitative problems and understand statistical concepts, as these form the bedrock for advanced analytics.
Tools & Resources
Khan Academy, Coursera courses on Statistics, NCERT Mathematics (Class 11-12) for revision, UPES library resources
Career Connection
A strong quantitative base is essential for interpreting data models, understanding analytical outcomes, and excelling in analytics roles.
Develop Core Software Skills- (Semester 1-2)
Start familiarizing yourself with foundational data tools. Learn basic Excel for data manipulation and visualization. Explore introductory Python or R programming through online tutorials and practice basic data operations.
Tools & Resources
Microsoft Excel, Python (Anaconda distribution), R (RStudio), DataCamp, freeCodeCamp
Career Connection
Proficiency in these tools is a non-negotiable skill for almost all business analytics positions in India.
Engage in Peer Learning and Group Projects- (Semester 1-2)
Actively participate in group assignments and form study groups. Discuss concepts, explain solutions to peers, and collaborate on small data projects. This enhances understanding and teamwork skills.
Tools & Resources
Google Docs/Sheets for collaboration, Zoom/Google Meet for discussions, Campus study rooms
Career Connection
Employers value teamwork and communication. Collaborating on projects mirrors real-world team environments in Indian companies.
Intermediate Stage
Deep Dive into Specialization Tools and Concepts- (Semester 3)
Dedicate significant time to mastering the analytical tools and techniques covered in Business Analytics electives, such as advanced statistics, data visualization (Tableau/Power BI), and predictive modeling. Work on individual projects applying these concepts.
Tools & Resources
Tableau Public, Power BI Desktop, Python libraries (Pandas, NumPy, Scikit-learn), R packages, Kaggle datasets
Career Connection
Specialization in these tools directly translates to competitive advantage for roles like Data Analyst, Business Intelligence Developer, and Analytics Consultant.
Seek Industry Internships and Live Projects- (After Semester 2 (Summer) and during Semester 3)
Actively search for and complete a summer internship or take up live projects offered by the university or through industry collaborations. Apply theoretical knowledge to solve real-world business problems.
Tools & Resources
UPES Career Services, LinkedIn, Company career pages, Internshala
Career Connection
Internships provide invaluable practical experience, build a professional network, and often lead to pre-placement offers in Indian organizations.
Network with Analytics Professionals and Attend Workshops- (Semester 3)
Attend webinars, industry conferences, and workshops focused on business analytics. Connect with professionals on LinkedIn, participate in industry meetups, and leverage alumni networks for insights and mentorship.
Tools & Resources
LinkedIn, Industry association websites (e.g., NASSCOM, AIM), UPES alumni network
Career Connection
Networking opens doors to job opportunities, keeps you updated on industry trends, and provides guidance for career planning in the Indian analytics ecosystem.
Advanced Stage
Focus on a Capstone Project/Dissertation- (Semester 4)
Choose a challenging dissertation topic relevant to Business Analytics. Apply comprehensive analytical techniques, gather real-world data (if possible), and produce a high-quality report and presentation. This showcases your end-to-end analytical capability.
Tools & Resources
Academic supervisors, Research databases, Python/R, Statistical software, Presentation tools
Career Connection
The dissertation serves as a strong portfolio piece, demonstrating your expertise and problem-solving skills to potential employers during placements.
Prepare for Placements and Mock Interviews- (Semester 4)
Begin rigorous preparation for campus placements early in Semester 4. Practice aptitude tests, technical interviews (SQL, Python, statistics), and behavioral interviews. Seek guidance from the career services cell and participate in mock interviews.
Tools & Resources
Online aptitude platforms, GeeksforGeeks, LeetCode (for coding questions), UPES Career Services, Alumni mentors
Career Connection
Thorough preparation is crucial for securing competitive roles in leading companies during the placement season in India.
Develop Soft Skills and Presentation Abilities- (Throughout Semesters 3-4)
Refine your communication, presentation, and negotiation skills. Business analysts need to clearly articulate complex findings to non-technical stakeholders. Participate in presentations, public speaking events, and communication workshops.
Tools & Resources
Toastmasters clubs (if available), Campus communication workshops, Recorded practice presentations
Career Connection
Excellent soft skills differentiate candidates in interviews and are vital for success in client-facing or team leadership roles within the Indian corporate landscape.
Program Structure and Curriculum
Eligibility:
- Minimum 50% marks in Class X, XII and Graduation (any discipline). Admissions through UPESMET / National Level Exams like CAT/MAT/CMAT/XAT/NMAT by GMAC/GMAT.
Duration: 4 semesters / 2 years
Credits: 98 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGFN 7001 | Accounting for Managers | Core | 4 | Financial Accounting Principles, Cost and Management Accounting, Financial Statement Analysis, Budgeting and Variance Analysis, Capital Structure Decisions |
| MGFN 7002 | Managerial Economics | Core | 4 | Demand and Supply Analysis, Consumer Behavior Theories, Production and Cost Analysis, Market Structures and Pricing, Macroeconomic Indicators |
| MGFN 7003 | Marketing Management | Core | 4 | Marketing Environment Analysis, Consumer and Business Markets, Market Segmentation, Targeting, Positioning, Product and Pricing Strategies, Promotion and Distribution Channels |
| MGFN 7004 | Organizational Behavior | Core | 4 | Foundations of Organizational Behavior, Perception, Attitudes, and Learning, Motivation Theories and Application, Leadership and Team Dynamics, Organizational Culture and Change |
| MGFN 7005 | Business Statistics and Research Methodology | Core | 4 | Data Collection and Sampling, Probability and Distribution, Hypothesis Testing and ANOVA, Correlation and Regression Analysis, Research Design and Ethics |
| MGFN 7006 | Business Communication | Core | 4 | Communication Process and Barriers, Oral and Written Communication, Business Correspondence and Reports, Presentation Skills Development, Group Discussions and Interviews |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGFN 7007 | Financial Management | Core | 4 | Financial Goals and Functions, Capital Budgeting Decisions, Working Capital Management, Cost of Capital and Capital Structure, Dividend Policy and Valuation |
| MGFN 7008 | Human Resource Management | Core | 4 | HR Planning and Job Analysis, Recruitment and Selection Strategies, Training and Development Programs, Performance Management Systems, Compensation and Employee Relations |
| MGFN 7009 | Operations Management | Core | 4 | Production Planning and Control, Inventory Management Techniques, Quality Management and TQM, Supply Chain Management Fundamentals, Project Management Tools |
| MGBN 7002 | Foundation for Data Science | Open Elective (Example) | 4 | Introduction to Data Science, Data Types and Sources, Data Cleaning and Preprocessing, Basic Data Visualization, Introduction to Python/R for Data Analysis |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGFN 8001 | Strategic Management | Core | 4 | Strategic Planning Process, Environmental Scanning and Analysis, Strategy Formulation and Choice, Strategy Implementation and Control, Corporate Governance and Ethics |
| MGFN 8002 | Business Law and Ethics | Core | 4 | Indian Contract Act, Company Law Fundamentals, Consumer Protection Act, Cyber Law and Intellectual Property, Ethical Dilemmas in Business |
| MGFN 8003 | Business Analytics | Core | 4 | Introduction to Business Analytics, Data Sources and Types, Descriptive Analytics Techniques, Introduction to Predictive Analytics, Overview of Prescriptive Analytics |
| MGBN 8001 | Advanced Business Statistics | Elective | 4 | Multivariate Data Analysis, Advanced Regression and Correlation, Time Series Analysis and Forecasting, Non-Parametric Methods, Factor and Cluster Analysis |
| MGBN 8002 | Data Visualization and Storytelling | Elective | 4 | Principles of Data Visualization, Effective Chart Types and Design, Interactive Dashboards (Tableau/Power BI), Data Storytelling Techniques, Infographics and Visual Communication |
| MGBN 8003 | Marketing Analytics | Elective | 4 | Marketing Mix Modeling, Customer Segmentation and Targeting, Digital Marketing Analytics, Sales Forecasting and Attribution, Campaign Effectiveness and ROI |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGFN 8004 | International Business | Core | 4 | Global Business Environment, Theories of International Trade, Foreign Exchange Markets, International Marketing Strategies, Global HR and Cultural Management |
| MGFN 8005 | Entrepreneurship and Innovation | Core | 4 | Entrepreneurial Process and Mindset, Business Plan Development, Startup Funding and Venture Capital, Innovation Management Strategies, Intellectual Property Rights |
| MGBN 8004 | Predictive Analytics | Elective | 4 | Regression Models (Linear, Logistic), Classification Techniques (Decision Trees, SVM), Time Series Forecasting Models, Introduction to Machine Learning, Model Evaluation and Validation |
| MGBN 8005 | Big Data Analytics | Elective | 4 | Introduction to Big Data Ecosystems, Hadoop and MapReduce Framework, Apache Spark for Data Processing, NoSQL Databases (MongoDB, Cassandra), Cloud Computing for Big Data Analytics |
| MGBN 8006 | Prescriptive Analytics | Elective | 4 | Optimization Techniques (Linear Programming), Simulation Modeling, Decision Analysis and Trees, Game Theory Applications, AI and Machine Learning for Prescriptive Models |
| MGPD 8001 | Dissertation | Project | 6 | Research Problem Formulation, Extensive Literature Review, Methodology Design and Data Collection, Advanced Data Analysis and Interpretation, Thesis Writing and Presentation |
Semester internship
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MGIS 7001 | Summer Internship | Project | 6 | Industry Problem Identification, Data Collection and Methodology, Analysis and Interpretation, Report Writing and Presentation, Application of Business Concepts |
