S.No | Sem | Part | Type | Subject | Credit | Hour | Int | Ext | Total |
1 | 1 | III | Theory | Business Fundamentals – 1 | 3 | 3 | 40 | 60 | 100 |
2 | 1 | III | Theory | Business Statistics and Probability | 3 | 3 | 40 | 60 | 100 |
3 | 1 | III | Theory | Operating System | 3 | 3 | 40 | 60 | 100 |
4 | 1 | III | Theory | R Programming Language | 3 | 4 | 40 | 60 | 100 |
5 | 1 | III | Theory | Business Economics | 3 | 3 | 40 | 60 | 100 |
6 | 1 | III | Theory | Database Management System | 3 | 4 | 40 | 60 | 100 |
7 | 1 | III | Practical | R Programming Language Lab | 4 | 5 | 40 | 60 | 100 |
8 | 1 | III | Practical | Database Management System Lab | 4 | 5 | 40 | 60 | 100 |
1 | 2 | III | Theory | Big Data Analytics | 3 | 3 | 40 | 60 | 100 |
2 | 2 | III | Theory | Machine Learning | 3 | 3 | 40 | 60 | 100 |
3 | 2 | III | Theory | Analytics using Excel | 3 | 3 | 40 | 60 | 100 |
4 | 2 | III | Theory | Python Programming | 3 | 3 | 40 | 60 | 100 |
5 | 2 | III | Theory | Data Mining Techniques | 3 | 3 | 40 | 60 | 100 |
6 | 2 | III | Theory | Business Fundamentals – II | 3 | 3 | 40 | 60 | 100 |
7 | 2 | III | Practical | Big Data Analytics Lab | 4 | 4 | 40 | 60 | 100 |
8 | 2 | III | Practical | Python Programming Lab | 4 | 4 | 40 | 60 | 100 |
9 | 2 | III | Practical | Analytics using Excel Lab | 4 | 4 | 40 | 60 | 100 |
1 | 3 | III | Theory | Market Research and Analytics | 3 | 3 | 40 | 60 | 100 |
2 | 3 | III | Theory | Exploratory Data Analysis | 3 | 4 | 40 | 60 | 100 |
3 | 3 | III | Theory | Elective I | 3 | 3 | 40 | 60 | 100 |
4 | 3 | III | Theory | Elective II | 3 | 3 | 40 | 60 | 100 |
5 | 3 | III | Theory | Financial Econometrics | 3 | 3 | 40 | 60 | 100 |
6 | 3 | III | Theory | Operations Research | 3 | 4 | 40 | 60 | 100 |
7 | 3 | III | Practical | Market Research and Analytics Seminar | 4 | 5 | 40 | 60 | 100 |
8 | 3 | III | Practical | Financial Econometrics Lab | 4 | 5 | 40 | 60 | 100 |
1 | 4 | III | Theory | Project Management | 3 | 4 | 40 | 60 | 100 |
2 | 4 | III | Theory | Elective III | 3 | 4 | 40 | 60 | 100 |
3 | 4 | III | Theory | Business Intelligence | 3 | 3 | 40 | 60 | 100 |
4 | 4 | III | Theory | Major Project / Internship | 10 | 15 | 40 | 60 | 500 |
5 | 4 | III | Practical | Business Intelligence Lab | 4 | 4 | 40 | 60 | 100 |
105 | 120 | 1200 | 1800 | 3400 |
List of Electives:
Elective | Subject Name |
Elective – I | Artificial Neural Networks |
Predictive Analytics | |
Elective – II | Cloud Computing |
Cloud Infrastructure Services | |
Elective – III | Text Analytics |
Social and Web Media Analytics |
Areas of Placement opportunity
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- Data Scientist,
- Data Analyst,
- Data Engineer
- Product Analyst
- Business Analyst and
- Machine Learning Engineer
Entrepreneur opportunity / about alumni entrepreneur
Now, with data being the key criteria, the Indian society has been witnessing the rise of numerous startups which are engrossed in crunching data to develop robust data-driven models such that a proper analysis of the issue can be undertaken to formulate smart solutions. Hence, data science becomes a smart part of today’s smart entrepreneurship. Because as an entrepreneur you will have to do many other things (sales, manage people, raise capital, negotiate supplies, etc).
- Higher Education opportunities (Research / Analyst )
- PG Program – Data Science & Business Analytics
- Data Scientist Engineer
- Data Scientist
- Data Scientist / Applied Mathematician
- Education Research and Data Analyst
- Statistician (Data Scientist)