BACHELOR OF SCIENCE IN ARTIFICIAL INTELLIGENCE AND SPORTS ANALYTICS
LEARN. LEAD. LIVE
Features :
  • Critically designed programs by integrating the New Education Policy 2020
  • Modernized Computer Science and Artificial Intelligence course as per current industry need Exclusive “Earn and Learn” Program
  • Equal distribution between theory and practicals
  • Preparing you to develop artificial intelligence-driven applications
  • Developing strong analytical and problem-solving abilities empowering you to grow personally and professionally
  • Opening new and exciting career avenues
  • Nurturing you with purposeful competencies in Artificial Intelligence.
Duration : 3 years (Full Time)
Eligibility : Completed 12th with 50% and Mathematics as a subject

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SEMESTER – I
1. FOUNDATION SUBJECTS

1.1 Mathematics for Intelligent System 1
1.2 Communication – I
1.3 Accountancy – I
1.4 Principles of Management
ELECTIVES 3/7
1.5 Introduction to Basic Electrical Engineering
1.6 Principals of Electronics
1.7 Intelligence of Biological Systems 1
1.8 Problem Solving and Object-Oriented Programming
1.9 Formal Language and Automata Theory
1.10 Sports Law I
1.11 Introduction to Computer Science

SEMESTER – II
2. FOUNDATION SUBJECTS

2.1 Mathematics for Intelligent System 2
2.2 Database Management System
2.3 Macro Economics
2.4 Human Resource Management
ELECTIVES 3/7
2.5 Operation Research and Optimization Techniques
2.6 Discrete Mathematics
2.7 Computer Organization and Architecture
2.8 Strategic Management
2.9 Data Structures and Algorithms
2.10 Managing Stakeholder in Sports
2.11 Business Statistics

SEMESTER – III
3. FOUNDATION SUBJECTS

3.1 Design and Analysis of Algorithms
3.2 Principles of Marketing
3.3 Operating Systems
3.4 Foundation of AI
ELECTIVES 3/7
3.5 Introduction to Internet of Things
3.6 Internet and Web Programming
3.7 Python Programming for Machine Learning
3.8 Application based Programming in Python
3.9 Operations Management
3.10 Advanced Web Technologies
3.11 Sports Statistics

SEMESTER – IV
4. FOUNDATION SUBJECTS

4.1 Financial Management
4.2 Organizational Behaviour
4.3 Marketing Management
4.4 Minor Project
ELECTIVES 3/7
4.5 Data Mining and Warehousing
4.6 Introduction to Data Analytics
4.7 Distributed Systems
4.8 Fuzzy logic and Neural Networks
4.9 Machine Learning Essentials
4.10 Introduction to Sports Electronics
4.11 AI in Sport

SEMESTER – V
5. FOUNDATION SUBJECTS

5.1 Software Engineering
5.2 Business Research Methodology
5.3 Deep Learning: Principles and Practices
5.4 Major Project-1
ELECTIVES 3/7
5.5 Computer Networks
5.6 Artificial Neural Networks
5.7 Global Sports & Olympics
5.8 Introduction to Robitics
5.9 Social Network Analysis
5.10 E-Sports
5.11 Enterprise AI and Sports(if not taken in Sem Iv)

SEMESTER – VI
6. FOUNDATION SUBJECTS

6.1 Computer Vision & Image Processing
6.2 Big Data Analytics
6.3 Psychology for Wellness
6.4 Major Project -2
ELECTIVES 3/7
6.5 E Commerce
6.6 Wireless Sensor Networks
6.7 Multi Agent Intelligent Systems
6.8 Digital Media and Marketing
6.9 Pattern and Anomaly Detection
6.10 Sports Entrepreneurship
6.11 Machine Intelligence for Sport Data Analytics

EXPERIENCE THE BEST STUDENT LIFE

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