MBA – Artificial Intelligence and
Data Science
Two-year full-time programme
MBA – Artificial Intelligence and Data Science program prepares the incumbents for future jobs in Business. The program imparts both the Core Business knowledge and Domain knowledge in Data Science and its tools.
Core Business Knowledge in Business Analytics, Financial Reporting, People and organization Dynamics, Human-Computer interactions and many more.
Domain knowledge and functional expertise in deploying R, Python, SaS for data driven decisions in Students can opt for specializations in Business Analytics and Machine Learning.
As professionals, the incumbents would be able to build data frameworks for Business decisions. Career opportunities and growth for MBA AI & Data Science is unlimited and in all sectors.
Industry-relevant skills
Industry relevant curriculum designed and taught by Highly qualified and industry-exposed faculty members of School of Business
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Embedded Microsoft Certifications |  |
Cloud Computing |
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Basics of Programming in R, Python |  |
Research Acumen & Data Science |
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Domain Knowledge |  |
Thought -leadership |
COURSE STRUCTURE
5 Units | 3 Credits | 10-12 Weeks per Trimester
ADMISSION INTAKE
Class Size 30
FORMAT
2 Year Full time
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| Trimester | Category | Course Name | Workshops | Practicums | Team Projects etc | |
| T1 | Business Core | Business Economics | Practice Teamwork and Deepen Conversation | |
| T1 | Business Core | Data Analytics for Decision making | Design Thinking | |
| T1 | Business Core | Financial statement and Reporting | Analysing Structured data | |
| T1 | Business Computing | |||
| T1 | Business Core | Ecosystem of Artificial Intelligence & Fundamentals of Machine Learning | ||
| T1 | Discipline Core | Programming with R & Python | ||
| T2 | Business Core | Operations Management | Reasoning and Decision making in uncertainity | |
| T2 | Business Core | Marketing Management | Analysing Unstructured data | |
| T2 | Business Core | Database Management | Programming Project – 1 | |
| T2 | Business Core | Corporate Finance | ||
| T2 | Discipline Core | Natural Language and Conversational Systems with Business Applications | ||
| T2 | Discipline Core | Analytic toolkit for decision Making | ||
| T3 | Discipline Core | Neural Networks and Deep Learning with Business Applications | Leadership training | |
| T3 | Discipline Core | Ethics, Philosophy and Sociology of AI | Technology & Innovation | |
| T3 | Discipline Core | HROB | E-Commerce | |
| T3 | Discipline Core | Project Management | Corporate Story Telling | |
| T3 | Discipline Core | Data Visualisation | ||
| T3 | Discipline Core | Business Research Management | ||
| T3 | Discipline Core | Embedded AI and robotics | ||
| T4 | Discipline Core | Application of AI in HROB | Applied Business Project Report | |
| T4 | Discipline Core | Application of AI in Operations | Business Forecasting | |
| T4 | Discipline Core | Application of AI & Automation in Finance | ||
| T4 | Discipline Core | AI powered precision Marketing | ||
| T4 | Discipline Core | IoT and Smart Asset Management | ||
| T4 | Discipline Core | Data Security and Governance | ||
| T5 | Discipline Core | Strategic Management and Resilient Business Models | ||
| T5 | Discipline Core | Big Data Management | ||
| Any Five Electives | ||||
| T5 | Elective | Data Security and Governance | ||
| T5 | Elective | Marketing Analytics | ||
| T5 | Elective | Financial Analytics | ||
| T5 | Elective | Text Analytics | ||
| T5 | Elective | HR Analytics | ||
| T5 | Elective | Social media and web analytics | ||
| T5 | Elective | Applied Econometrics for Managers | ||
| T5 | Elective | Web mining and Recommender syatems | ||
| T5 | Elective | Fraud Analytics | ||
| T6 | Capstone Project | |||
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School of Business
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