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BBA (Hons.) Data Science and Analytics
Explore the basics of business administration, recognize the protocols of business
management and use your tactical skills on multiple levels.
B.B.A. (Hons.)- Data Science & Analytics is a 4-year programme, with an option to exit at the end of the 3rd year, after fulfilling the credit requirement to graduate with B.B.A. Degree, as per NEP 2020 guideline. The programme includes foundation courses in all essential domains of business management and in particular in Data Science and Analytics subjects.
This programme aims to prepare students for a successful professional career through an intensive pedagogy combining theory and practice, focused on personal growth for every student. The members of the faculty, who come with long and valuable years of experience in teaching, research, and corporate experience, are committed to bring out the best from the students through continuous guidance and mentoring.
This programme is integrated with five MICROSOFT CERTIFICATIONS. At the end of the programme, the students will be able to handle projects using Data Analysis tool like R, Python, PowerBI, Excel, Tableau, Rapidminer, IBM SPSS modeller
The curriculum is built to provide a comprehensive understanding of Business Administration and in particular Data Science and Analytics.
Industry Relevant Technical skills
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Value-driven professional Microsoft certifications |  |
Programming Languages |
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Data visualisation and Storytelling |  |
Data Analysis and Decision Making |
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Competent Learning of Data Analysis tools and Techniques |  |
Data skills integrated with business domain knowledge |
| S.No. | Academic Core | Elective Courses | Credits | S.No. | Experiential Courses | Credits |
|---|---|---|---|---|---|
| SEMESTER – I | |||||
| 1 | Business Economics | 3 | 1 | Business Communication – Practice | |
| 2 | Business Statistics and Decision Analysis | 3 | 2 | Foreign Spoken Lanaguage | |
| 3 | Financial Accounting | 3 | 3 | Excelling office Management using spreadsheet – Basics | |
| 4 | Business and Technology | 3 | |||
| 5 | Fundamentals of Business | 3 | |||
| 6 | Fundamentals of Cloud computing with MS AZ900 certification | 3 | Sem -1 Credits | 24 | |
| SEMESTER – II | |||||
| 1 | Macro Economics | 3 | 1 | Business Environment and Sustainability Management | |
| 2 | Business law | 3 | 2 | Quantitative Aptitude and Reasoning | |
| 3 | Basics of Programming | 3 | 3 | Positive Worklife Balance | |
| 4 | Management Accounting | ||||
| 5 | Marketing Management | 3 | |||
| 6 | Ecosystem of Artificial Intelligence with MS AI900 certification | 3 | |||
| 7 | Fundamentals of Machine Learning | 3 | |||
| 8 | Internship-I | 2 | Sem -2 Credits | 22 | |
| SEMESTER – III | |||||
| 1 | Financial Management | 3 | 1 | Front Office Management for Operational Excellence | |
| 2 | Management Information Systems | 3 | 2 | Building high performance teams & Conflict Management | |
| 3 | Human Resource Management and Organisational Behaviour | 3 | |||
| 4 | Marketing Management | 3 | |||
| 5 | Data Visualisation Using PowerBI with MS PL300 certification | 3 | |||
| 6 | Minors – 1 | 3 | |||
| 7 | Minors – 2 | 3 | Sem -3 Credits | 23 | |
| SEMESTER – IV | |||||
| 1 | Business Research Methods | 3 | 1 | Data Visualisation and Presentation | |
| 2 | Entrepreneurship Development | 3 | 2 | Health & Wellness | |
| 3 | Analytic toolkit for decision Making with MS EXCEL EXPERT MO-211 certification | 3 | |||
| 4 | Programming with R& Python | 3 | |||
| 5 | Embedded AI and robotics | 3 | |||
| 6 | Minor -3 | 3 | |||
| 7 | Minor -4 | 3 | |||
| 8 | Internship – II | 4 | Sem -4 Credits | 23 | |
| SEMESTER – V | |||||
| 1 | Project Management | 3 | 1 | Digital infographics resume presentation | 1 |
| 2 | Global Business Management | 3 | 2 | Importance of Self-branding | 1 |
| 3 | Web Analytics | 3 | 3 | Corporate Story telling | 1 |
| 4 | Media strategy & planning | 3 | |||
| 5 | Minor -5 | 3 | |||
| 6 | Minor -6 | 3 | Sem -5 Credits | 21 | |
| SEMESTER – VI | |||||
| 1 | Ethics and Corporate Governance in business | 3 | |||
| 2 | Strategic Management | 3 | |||
| 3 | Qualitative Research – analysing unstructured data | 3 | |||
| 4 | Funadamentals of IoT and Smart Asset Management | 3 | |||
| 5 | Minor – 7 | 3 | |||
| 6 | Minor – 8 | 3 | |||
| Capstone Project | 6 | Sem -6 Credits | 24 | ||
| SEMESTER – VI | |||||
| Courses in the Sem VII and Sem VIII are super specialisation courses and are research based. Credits for each of these semesters will be 24 | |||||
| Sem – 7 & 8 Credits | 48 | ||||
| 186 | |||||
School of Business
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