B.Tech Artificial Intelligence & Data Science

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About the Program

The B.Tech program in Artificial Intelligence and Data Science is a comprehensive program. It delves into foundational subjects such as Data Structures & Algorithms, Software Engineering, and Computer Networks in addition the program ensures a strong grasp of essential concepts in Artificial Intelligence and Data Science. Advanced AI concepts are further explored through in-depth study of topics like Database Systems, Cloud Computing, Big Data Analytics, and Reinforcement Learning.

The overarching goal of the program is to equip students with the expertise to develop algorithms that mimic human problem-solving capabilities, achieved through the application of networks, algorithms, data analysis, and programming techniques. This comprehensive approach includes the study of programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring a well-rounded understanding of Artificial Intelligence and Data Science.

Advantage @DGU

  • Dehradun - A Safe, Beautiful & Cosmopolitan Education City.
  • Bundle of Industry Integrated Value Added Certificates.
  • Students from 23 States & 5 Countries on campus.
  • Multiple Placements for all.
  • More than 250+ Companies for Campus Placement.
  • Possibilities of International Exposure.
  • Separate in campus Girls & Boys hostels with Modern Sporting & Gym facilities.

USPs of the Program

Holistic Curriculum Integration

Seamlessly blends foundational subjects with cutting-edge AI concepts, providing students with a comprehensive education covering both fundamental principles and advanced technologies.

Foundational and Advanced Exploration

Delves into advanced topics like Database Systems, Cloud Computing, and Big Data Analytics, ensuring graduates are well-equipped for the dynamic landscape of Artificial Intelligence and Data Science.

Practical Application of AI

Focuses on developing algorithms that emulate human problem-solving, offering hands-on experience with networks, algorithms, data analysis, and programming techniques for real-world challenges.

Multifaceted Skill Development

Covers programming languages, database management, data analytics, scripting languages, machine learning, and big data analytics, ensuring graduates possess a diverse skill set highly valued in the industry.

Future-Ready Education

Incorporates emerging technologies, preparing students for the future of AI and Data Science with relevant industry trends and tools. Graduates emerge with theoretical knowledge and practical skills for evolving technological landscapes.

Latest Trends in Industry

The future holds immense promise for graduates in Artificial Intelligence & Data Science as organizations increasingly rely on data-driven insights. This program positions professionals at the forefront of a burgeoning digital landscape, where the demand for skilled individuals is consistently expanding. Diversification of AI and Data Science applications into sectors like manufacturing, retail, and energy opens new avenues, while integration with emerging technologies like edge and quantum computing propels the field into uncharted territories. The healthcare sector, in particular, offers significant opportunities for AI applications in diagnostics and personalized medicine. Graduates will play crucial roles in addressing emerging challenges related to data privacy and ethics, ensuring responsible and transparent use of data in an evolving technological landscape. Industry trends reflect a dynamic landscape, with the rise of Explainable AI (XAI), Automated Machine Learning (AutoML), and the integration of AI in DevOps processes. Edge AI, Natural Language Processing (NLP) advancements, and predictive analytics for cybersecurity are shaping the future. Continuous learning remains paramount, as AI and Data Science professionals adapt to evolving technologies and methodologies, ensuring they remain competitive in this rapidly advancing industry.

Career Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • AI Researcher
  • Business Intelligence Analyst
  • Data Engineer
  • Data Architect
  • AI Product Manager
  • Machine Learning Operations (MLOps) Engineer
  • Quantitative Analyst
  • Predictive Modeler

Course Structure

SEMESTER I SEMESTER II
Subject Credits Subject Credits
Mathematics I 3 Mathematics II 3
Physics 3 Basic Electronics Engineering 3
Programming in C Language 3 Data Structures with C 3
Overview of Big Data 2 Discrete Mathematical Structures 3
Urban Sociology 2 Introduction to Psychology 2
Web Technologies 3 Spoken Technical English 2
Written Technical English 3 Environmental Studies 2
PRACTICAL PRACTICAL
Physics Lab 1 Basic Electronics Engineering Lab 1
Programming in C Language Lab 1 Data Structures-Lab 1
TOTAL 21 TOTAL 20
SEMESTER III SEMESTER IV
Subject Credits Subject Credits
Design and Analysis of Algorithms 3 Data Communication and Computer Networks 3
Mathematics III 3 Operating Systems 3
Computer System Architecture 3 Introduction to Java and OOPS 2
Functional Programming in Python 3 Database Management Systems & Data Modelling 3
Introduction to IT and Cloud Infrastructure Landscape 3 Applied Statistical Analysis (for AI and DS) 2
Emerging Trends in AI & DS 1 2 Data Visualisation for Analysis 3
Introduction to Data Science 3 Emerging Trends in AI & DS 2 2
Technical Report writing 2 Appreciating Art Fundamentals 2
Placement Related Communication 1
PRACTICAL PRACTICAL
Design and Analysis of Algorithms Lab 1 Data Communication and Computer Networks Lab 1
Web Technologies Lab 1 Introduction to Java and OOPS Labs 1
Database Management Systems & Data Modelling Lab 1
Operating Systems Lab 1
TOTAL 24 TOTAL 25
SEMESTER V SEMESTER VI
Subject Credits Subject Credits
Formal Languages & Automata Theory 3 Machine Learning Classification 2
Software Engineering & Product management 3 Natural Language Processing 3
Algorithms for Intelligent Systems 3 Data Warehousing & Multidimensional Modelling 3
Emerging Trends in AI & DS 3 1 Probabilistic Graphical Models 3
Reasoning and Problem Solving 3 Emerging Trends in AI & DS 4 1
Knowledge Engineering 3 Design Thinking 2
Effective Communication 2 Big Data Analytics 2
Being Corporate Ready 1
PRACTICAL PRACTICAL
Software Engineering & Project Management Lab 1 Minor Project 2 4
Minor Project 1 4 Machine Learning Lab 1
TOTAL 23 TOTAL 22
SEMESTER VII SEMESTER VIII
Subject Credits Subject Credits
Expert Systems 3 Current Applications of AI 4
Deep Neural Networks 4 Professional Ethics 2
Data mining & Predictive Modelling 3 Leadership in a Dynamic Business Environment 2
Computer Vision and Image Processing 4 Entrepreneurship and Product Development 2
Fuzzy Logic and Neural Networks 4
Placement Boot Camp 1
PRACTICAL PRACTICAL
Major Project I 4 Major Project 2 6
TOTAL 23 TOTAL 16

Eligibility

To pursue this program student must have

Min. 75% in XII (Physics, Mathematics, Chemistry / Computer Science as mandatory subjects) with appereance in National Level Entrance Examinaiton + Online Interview + Writing Test ( Merit on the basis of cumulative Score on the basis of X+XII + Online Interview + Writing Test )

How to Apply

In order to pursue this program, the students can talk to our counceller or use links below for further details:

Student Speak

Dhruv Tripathi

I am delighted to say that the faculties and the staff has helped me to achieve these dreams. Here, I not only had the chance to develop on my technical skills but also on other aspects such as Leadership & Management skills.

Saswati Pattjoshi

⁠I am very thankful to the department faculty and the placement cell that helped me achieve this while guiding me at every stage. My experience with the placement procedure was really great as I got to learn a lot. The placement cell is very well versed about each step.

Satyam Shekhar

⁠It is a great experience being at DBSGU. Our CDC department has helped a lot during the process of placement. They make sure that each student is well prepared for the interview.

Jyoti Nainwal

I am really thankful towards our college and placement cell, for supporting and providing us opportunities to learn interview skills, communication skills and guiding us in placements. The staff was supportive and informed us with enough notice regarding every placement drive.

Clubs & Activities Endless activities to get you relexed & refreshed when you are not studying

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Placements Enjoy Everyday while
Ensuring Great Career

At DBSGU each student gets the opportunity to appear for more than 250+ companies each year and each student is able to get the optimum placement deserved. The maximum take home salary has been Rs. 20.5 Lakhs & CTC 23.5 Lakhs. Based on the intensity of training and exposure involved in the management program chosen by students at DBSGU, they are offered positions ranging from Mid-level Manager, Functional Expert, Consultant (Entry Level), Entry Level Managerial and Domain Trained positions.

Interested in this program? Talk to counsellor @ +91 7259162060
Apply Now