In Collaboration with Microsoft
MBA – Artificial Intelligence and Data Science
Overview
Microsoft-accredited MBA – Artificial Intelligence and Data Science programme gives a strong edge by preparing students for future jobs. The programme imparts knowledge and skills in core business areas and the domains of artificial intelligence and data science. Some of the courses in core business include Business Analytics, Financial Reporting, People and Organisation Dynamics, and Human-Computer Interactions, among others. Students will acquire domain knowledge and functional expertise in deploying R, Python, and SAS for data-driven decisions. They can further opt for specialisations in Business Analytics and Machine Learning. As Microsoft-certified professionals, graduates will be able to build data frameworks for business decisions.
Career opportunities and growth for MBA Artificial Intelligence and Data Science professionals are unlimited and span across sectors.
Highlights
- Industry Oriented Curriculum
- Live projects and Hands on learning
- Application oriented experiential learning
- Edge with Nano certifications
- Simplified application of latest tools and languages
Embedded Microsoft Certifications
Cloud Computing
Basics of Programming in R, Python
Research Acumen & Data Science
Domain Knowledge
Thought -leadership
Programme Structure : MBA – Artificial Intelligence and Data Science
Course Structure
5 Units | 3 Credits | 10-12 Weeks per Trimester
Admission & Intake
Class Size 30
Format
2 Year Full time
MBA Artificial Intelligence and Data Science In Collaboration with Microsoft
Tentative Programme Structure
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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 Core | Fundamentals of Cloud Computing with MS AZ900 certification | ||
| 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 | |||