Latest Updates
To know the details for B.Tech. (Hons.) seat allotment schedule under JEE Main Quota, please click here | Ph.D. Admissions 2026 Now Open | Full-Time and Part-Time | Apply Before 10 April 2026 – Apply Now | 1. Information submitted to UGC for inspection purpose | 2. UGC Public Self Disclosure | CET Code: E285

MBA – Artificial Intelligence and Data Science

Home » Programmes » Postgraduate Programmes » MBA – Artificial Intelligence and Data Science

In Collaboration with Microsoft

MBA – Artificial Intelligence and Data Science

Apply Now

Overview

The MBA in Artificial Intelligence & Data Science (AI & DS) at RV University is a two-year postgraduate programme designed to prepare students for careers in AI, data-driven decision-making, and emerging technologies across industries.

The programme combines academic learning with hands-on industry exposure, helping students tackle real-world challenges in business analytics, machine learning, and data science applications.

The curriculum focuses on practical skills in:

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Recommender Systems
  • AI-Powered Business Solutions
  • Responsible AI Practices

Students will also earn 5 Microsoft Certifications during the course, gaining access to tools, projects, and mentorship from experts to become industry-ready professionals.

Key Highlights

  • Offered exclusively at RV University School of Business, focusing on AI, Data Science, and emerging technologies.
  • Industry-aligned curriculum with 5 Microsoft Certification courses covering machine learning, deep learning, business analytics, AI applications, and data-driven decision-making.
  • Hands-on learning through real-world projects, analytics labs, and case-based applications.
  • Exposure to industry tools and AI frameworks widely used in business and technology.
  • Guest lectures, workshops, and mentorship from AI and Data Science experts.
  • Internship and placement support through RVU Placement Office and industry collaborations.

Programme Structure

I Semester (Total Credits: 24)

SL No. Course Code Course Title Credits
1 SB5101 Managerial Economics 3
2 SB5102 Mathematics and Statistics for Managerial Decisions 3
3 SB5103 Financial Reporting and Analysis 3
4 SB5104 Principles of Marketing 3
5 SB5105 Organisational Behaviour 3
6 SB5106 Information and Technology Management for Business 3
7 SB5107 Introduction to Python Programming 3
8 SB5201 Database Management 3

II Semester (Total Credits: 23)

SL No. Course Code Course Title Credits
1 SB5151 Corporate Finance 3
2 SB5152 Principles of People Management 3
3 SB5153 Entrepreneurial Mindset 3
4 SB5154 Business Research Methods 3
5 SB5155 Design Thinking 3
6 SB5251 Analytic Toolkit for Decision Making with MS EXCEL EXPERT MO-211 Certification 3
7 SB5252 Fundamentals of Cloud Computing with MS AZ-900 Certification 3
8 SB5156 Community Project 2

III Semester (Total Credits: 30)

SL No. Course Code Course Title Credits
1 SB6101 Strategic Management 2
2 SB6201 Machine Learning 4
3 SB6202 Business Forecasting 4
4 SB6203 Natural Language Processing with Classification and Vector Spaces 4
5 SB6204 Data Security and Governance 4
6 SB6205 Ecosystem of Artificial Intelligence with MS AI-900 Certification 4
7 SB6206 Data Visualization Using Power BI with MS PL-300 Certification 4
8 SB6102 Industry Internship 4

IV Semester (Total Credits: 25)

SL No. Course Code Course Title Credits
1 SB6151 Corporate Governance, ESG and Business Ethics 3
2 SB6251 Recommender Systems 4
3 SB6252 Deep Learning 4
4 SB6253 Designing and Implementing Enterprise-Scale Analytics Solutions using Microsoft Azure and Microsoft Power BI with MS DP-500 Certification 4
5 SB6254 Business Function Analytics 4
6 SB6152 Project Dissertation 6

Industry-Integrated Curriculum

  • Courses aligned with industry requirements, emphasizing practical skills in AI, data science, and analytics.
  • Includes 5 Microsoft Certification courses to enhance industry readiness.

Experiential Learning

  • AI & DS Labs: Hands-on experience with machine learning platforms and data science tools.
  • Industry-Grade Platforms: Practical training using Python, TensorFlow, PyTorch, and cloud-based analytics platforms.
  • Internships and Industry Projects: Work on AI and data-driven projects with corporate partners.
  • Capstone Projects: Real-world problem-solving projects
  • Industry Exposure: Mentorship from industry experts and Microsoft-certified modules.

Career Pathways / Prospects

Graduates of the MBA AI & DS programme, equipped with 5 Microsoft Certifications, are prepared for careers in AI, analytics, and business, including:

  • AI & Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • Data Analyst / Data Engineer
  • Analytics Consultant

Admission Requirements

  • Bachelor’s degree from a recognised institution.
  • A strong inclination towards analytics
  • RVU Admission Test / National-level entrance scores accepted.
  • Personal interview with RVU School of Business.

How To Apply

Visit the RV University website and select the School of Business.

Fill the online application form for MBA – AI&DS

Upload all required academic documents.

Pay the application fee.

Attend the selection process.

1