Business Analytics is an integration between business/problem context, technology and data science (Statistics) that assists data driven decision making/problem solving. This course will build strong foundations relating to emerging fields like Artificial Intelligence, Advance Machine Learning Algorithms and Cloud Computing techniques. This is a unique course blended with features of business acumen, technology and Statistics. This course is very useful for students who are willing to build their careers in the area of Analytics. This course focuses on each function and its application in different sectors of the industry. Students will be focusing on Marketing Analytics, Financial Analytics, HR Analytics, Operational Analytics etc.
1. Gives Importance and value to the data in the present business world.
2. May not be a technocrat but is tech savvy.
3. Acquired Techno commercial skills & Knowledge.
4. Is looking for prospective career in the field of data sciences.
This program will help you:-
1. Develop a strong understanding of the business analytical skills.
2. Understand the nature of business analytical competition.
3. Explain how organisations are competing on Business Analytics with internal and external processes.
4. Learn various data analytics software tools to solve business problems quickly.
5. Align a robust technical environment with business strategies.
6. Enhance your managerial competency skills.
1. Data Analyst
2. Data Scientist
3. Business Analyst
4. Business intelligence Analyst
5. Financial Analyst
6. Marketing Analytics Manager
7. Pricing Analyst
8. Supply Chain Analyst
9. Website Analyst
10. Fraud Analyst
11. Retail Sales Analyst
12. Clinical Analyst
These are not the only opportunities; the use of business analytics is widespread in all the industries. Whether you are working in the field of IT, Banking, Insurance, Human Resource or any other department, there will always be a requirement for Business analytics.
• To gain an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision making.
• Apply principles and skills of economics, marketing, and decision making to contexts and environments in data science.
• Build and enhance business intelligence capabilities by adapting the appropriate technology and software solutions.
• Provide scholars with leading-edge analytical skills in various functional areas of business.
• The first B – School in two Telugu speaking states offering two year, full time, AICTE approved PGDM (Business Analytics) course.
• B – School embedded Harvard Business School Online Business Analytics program with a certificate from the Harvard Business School Online.
• Offering advanced data analytics software like Python, R, Tableau, IBM-SPSS. For cloud computing HIVE, PIG and Spark, and BI tools Advanced Excel, Power BI and Tableau.
• Providing facility for self-learn modules from MOOCS.
• Having MOUs for consulting, knowledge exchange with leading global schools and organisations.
• Offering various short term international immersion programs.
• Experiential learning through simulations and data driven analytics in Marketing, Finance, Operations and HR.
• Delivered by the best faculty and industry leaders from across the country.
• Exposure to latest curriculum with faculty from the academia and industry.
• An appropriate blend of business domain knowledge and analytics knowledge in 2 years full-time course.
Code | Theme- CORPORATE IMPELLENT | Credits |
---|---|---|
1101-R1ACG | Principles of Management | 2 |
1102-R1ACF | Micro Economics | 2 |
1103-R1ACG | Business Environment and Law | 3 |
1104-R1ACF | Financial Reporting, Statements and Analysis | 3 |
1105-R1ACD | Business Statistics and Analytics for Decision Making- I | 2 |
1106-R1ACD | Information Technology for Managers | 2 |
Managerial Competency Development: | ||
1107-R1ACG | Indian Ethos and Business Ethics | 1 |
1108-R1ACG | Company Fact Presentation | 0.5 |
1109-R1ACG | Experience Learning | 1 |
1110-R1ACG | Term End Viva | 0.5 |
1111-R1ACG | Business English | – |
1112-R1BCG | Current Business Affairs | – |
Total Credits | 17 |
Code | Name of the subject | Credit |
---|---|---|
1201-R1ACM | Marketing Management – 1 | 2 |
1202-R1ACF | Visual analytics using Tableau | 2 |
1203-R1ACF | Financial Reporting, Statements and Analysis using Excel | 2 |
1204-R1ACD | Applied Regression Analysis (Predictive Modelling) | 3 |
1205-R1ACF | Operations Research using Tora / Excel | 3 |
1206-R1ACF | Human Resource Management | 2 |
1207-R1ACG | Managerial Communication- I | 3 |
Managerial Competency Development: | ||
1208-R1ACG | Book Review Session | 1 |
1209-R1ACG | Social Project | 0.5 |
Python Lab (Programming Logic) | 1 | |
1210-R1ACG | Term End Viva | 0.5 |
1211-R1ACG | Current Business Affairs | |
Total Credits | 20 |
Code | Name of the subject | Credit |
---|---|---|
1301-R1ACH | Operation Management | 3 |
1302-R1ACD | Research Methodology and Multivariate Data Analysis Techniques using SPSS |
3 |
1303-R1ACF | Marketing Management - II | 2 |
1304-R1ACF | SQL & Data Mining | 3 |
1305-R1ACF | Big Data Analytics | 3 |
1306-R1ACF | Financial Modelling and analytics using - Excel minor & VBA | 2 |
1307-R1ACD | Time Series Analysis and Forecasting Techniques | 3 |
1308-R1ACG | Managerial Communication-II | 3 |
Managerial Competency Development: | ||
1309-R1ACG | Industry Review Session | 0.5 |
1310-R1ACG | Term End Viva | 0.5 |
1311-R1ACG | Current Business Affairs | – |
Total Credits | 23 |
Code | Name of the subject | Credit |
---|---|---|
2401-R1ACG | ML using R & Python | 3 |
2402-R1ACF | Marketing Analytics | 3 |
2403-R1ACF | Fraud and Risk Analytics | 3 |
2404-R1ACF | Strategic Management | 3 |
2405-R1ACF | HR Analytics / Online Certification Program | 3 |
2406-R1ACF | Services Operations Management | 3 |
2407-R1ACG | Managerial Communication- III | 2 |
Managerial Competency Development: | ||
2408-R1ACG | Industry Internship Project | 3 |
2409-R1ACG | Company Review Session | 1 |
2410-RA1CG | Course of Independent Study/MOOC/Certificate Course | 2 |
2411-R1ACG | Term End Viva | 0.5 |
2412-R1ACG | Current Business Affairs | – |
Total Credits | 26.5 |
Code | Theme – CORPORATE ASTUTE | Credit |
---|---|---|
2501-R1ACG | Entrepreneurship Development | 2 |
2502-R1ACF | Web Analytics | 2 |
2503-R1ACF | Fintech | 2 |
2504-R1ACF | Supply Chain Analytics | 3 |
2505-R1ACF | Block Chain Applications in Business | 3 |
2506-R1ACF | Natural Language processing - text and image analytics | 3 |
2507-R1ACF | Artificial Intelligence & Deep Learning | 3 |
Managerial Competency Development: | ||
2508-R1ACF | Specialization Project | 2 |
2509-R1ACF | Article Review Session | 1 |
2510-R1ACF | Term End Viva | 0.5 |
2511-R1ACF | Current Business Affairs | – |
Total Credits | 21.5 |
Code | Name of the subject | Credit |
---|---|---|
2601-R1ACG | Design Thinking | 2 |
2602-R1ACF | Product Analytics | 2 |
2603-R1ACG | Decision Making and Competing with analytics | 2 |
Total Credits | 6 |