Eligibility Norms for Admission to B. Tech Programs:
Passed 10+2 examination with Physics/ Mathematics Compulsory along with Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.
Eligibility Norms for Admission to B. Tech Programs (Lateral):
Passed Minimum THREE years / TWO years (Lateral Entry) Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in relevant branch of Engineering and Technology as mentioned in the AICTE APH 2024-25. OR Passed B.Sc. Degree from a recognized University as defined by UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject. OR Passed B.Voc/3-year D.Voc. Stream in the same or allied sector. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to achieve desired learning outcomes of the programme)
The Bachelor of Technology degree with a specialisation in Artificial Intelligence and Data Science (AI&DS) is a cutting-edge program that is becoming increasingly popular. This specialisation provides students with the skills and knowledge needed to build intelligent systems. This domain is being used in various industries such as healthcare, finance, retail, and transportation. Companies are looking for professionals who have expertise in artificial intelligence and data science who can help them implement AI-driven solutions to improve efficiency, accuracy, and decision-making. Students will develop a solid expertise in four essential domains: Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
Course Curriculum
01Calculus and Differential Equations - MAT2301
02Optoelectronics and Quantum Physics - PHY2501
03Engineering Graphics - MEC1006
04English for Technical Communication - ENG1900
05Computational Thinking using Python - CSE1500
06Digital Design - ECE2022
07Introduction to Design Thinking - DES1146
08Optoelectronics and Quantum Physics Lab - PHY2504
09Industry Readiness Program – I - PPS1025
10Digital Design Lab - ECE2052
01Probability and Statistics - MAT2402
02Environmental Studies - CHE7601
03Foundations of Integrated Engineering - CIV1200
04Chemistry of Smart Materials - CHE2501
05Problem Solving using C - CSE2000
06Advanced English - ENG2501
07Basics of Electrical and Electronics Engineering - EEE1200
08Indian Constitution - LAW7601
09Problem Solving using C Lab - CSE2001
10Chemistry of Smart Materials Lab - CHE2502
11Industry Readiness Program – II - PPS1026
12Basics of Electrical and Electronics Engineering Lab - EEE1250
13Design Workshop - ECE1511
01Linear Algebra and Vector Calculus - MAT2303
02Data Communication and Computer Networks - CSE2251
03Data Structures and Analysis of Algorithm - CSE2278
04Data Structures and Analysis of Algorithm Lab - CSE2279
05Statistical Foundations of Data Science - CSD1712
06Statistical Foundations of Data Science Lab - CSD1713
07Object Oriented Programming Using Java - CSE2255
08Object Oriented Programming Using Java Lab - CSE2256
09Introduction to Data Science - CSD2002
10Universal Human Values and Ethics - CIV7601
11Introduction to Aptitude - APT4002
01Discrete Mathematics - MAT2404
02Web Technologies - CSE2258
03Web Technologies Lab - CSE2259
04Database Management Systems - CSE2260
05Database Management Systems Lab - CSE2261
06Exploratory Data Analysis - ADS2007
07Exploratory Data Analysis Lab - ADS2008
08Essentials of AI - CSE2264
09Essentials of AI Lab - CSE2265
10Essentials of Finance - FIN1002
11Aptitude Training – Intermediate - APT4004
01Big Data Technologies - ADS2009
02Big Data Technologies - ADS2002
03Machine Learning for Intelligent Data Science - ADS2003
04Machine Learning Lab for Intelligent Data Science - ADS2004
05Operating Systems - CSE2269
06Data Handling and Visualization - CSD2009
07Data Handling and Visualization Lab - CSD2010
08Professional Elective – I - CSEXXXX
09Internship - CSE7000
10Logical and Critical Thinking - APT4006
01Software Design and Development - CSE2274
02Deep Learning and Reinforcement Learning - ADS2501
03Generative AI and Prompt Engineering - ADS2502
04Natural Language Understanding and Analytics - ADS2503
05Natural Language Understanding and Analytics Lab - ADS2504
06Competitive Programming and Problem Solving - CSE2224
Industry-Focused Curriculum – Covers AI, ML, Data Science, Deep Learning, Big Data, Cloud Computing, Feature Engineering, Data Preprocessing, Data Visualization, and NLP with real-world applications.
Hands-on Learning – Project-Based Learning, live AI & data science projects, hackathons, and industry collaborations for practical exposure.
State-of-the-Art Data Science Labs equipped with Python, R, TensorFlow, Hadoop, Apache Spark, and advanced analytics tools.
High Placement Record – Strong recruiter network (Google, Amazon, IBM, Infosys, TCS, Wipro), with pre-placement training and career support.
Research & Innovation – Access to AI & Data Science labs, research in predictive analytics, business intelligence, and startup incubation.
Global Certifications & Collaborations – Integrated courses from AWS, Google AI, Microsoft, IBM, Tableau, and Power BI, plus international exchange programs.
Holistic Development – Focus on soft skills, leadership, AI ethics, and data governance, preparing students for top tech & analytical roles.
Career Opportunities
AI Engineer
Machine Learning Engineer
Business Intelligence Analyst
Data Analyst
Data Engineer
Data Scientist
Reporting Analyst
Research Executive
AI Consultant
Your Next Move Awaits
Begin an extraordinary journey with Presidency University.
+91 9022092222
admission@presidencyuniversity.in
Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560119, India
+91 9022092222