B.Tech AI & Data Science
About the Program
By 2025, It is estimated that by 2025 there will be 463 exabytes of data created each day globally – equivalent of 212,765,957 DVDs per day. By using a combination of Artificial Intelligence and Data Science, businesses will increasingly base their decisions on data to solve challenging problems in the area of image analysis, language translation and speech recognition with a phenomenal accuracy.
This has generated significant interest in devising and deploying AI and ML based solutions in most of the industry verticals such as Health-care, Finance, Retail, Energy, Manufacturing, Transportation, Pharmaceuticals, Agriculture and Education
This has generated significant interest in devising and deploying AI and ML based solutions in most of the industry verticals such as Health-care, Finance, Retail, Energy, Manufacturing, Transportation, Pharmaceuticals, Agriculture and Education
- This program aims at creating future data scientists and data analysts by preparing students through a semester-long capstone project where you can apply your knowledge and skills to work on a real-life data analytic assignments
- The program is designed to make you industry ready by in-depth learning in basic as well as advanced Probability and Statistics, rigorous practical skills in multiple programming language environments such as Python and Java, state-of-the-art Machine Learning(ML) and Deep Learning(DL) frameworks, Extensive knowledge in Artificial Intelligence, Image, video, text and speech analysis using ML/DL and Big Data Analytics using distributed technologies.
- This includes a semester-long capstone project where the students can apply their knowledge and skills to work on a real-life data analytic projects.
Curriculum divided in to 4 parts, namely, Math, Core-CSE, Core-AI, and Applications
- Core-CSE courses for placement
- Core-AI and Math courses for research/higher studies
- Application courses to encourage Entrepreneurship
Core-CSE
- Programming: C, Python, OOP, Software engineering
- Hardware: Digital, CO, OS
- Data: Structures, DAA, DBMS
- Networks: Computer Networks, Cyber security, distributed computing, cloud computing, web technologies
Core-AI course
- Foundations
- AI, Machine Learning
- Big Dara
- Deep learning
Applications
- Image and video
- Text (NLP, Machine Translation)
- Speech (ASR, TTS, S2S)
- Medical
- Robotics
Math courses
- Linear Algebra and Matrix analysis
- Probability and Random process
- Statistics
- Discrete Mathematics
- Optimization Techniques
Professional Elective buckets
- Advanced AI & DS
- Advanced Networking
- Advanced Computing
Curriculum - Click Here
Regulations - Click Here
Apart from the regular job offers for the computer science and engineering graduates, the list of job profiles for a graduate in this program would be,
- Data Engineer / Scientist
- Machine Learning Engineer
- Data Analyst
- Interactive Visualizer / Graphic Designer
- Big Data Engineer / Architect
- Database Developer
- Statistician
- ML Intelligent System Researcher … to name a few.