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Computer Science Engineering


B.Tech in Computer Science & Engineering – Artificial Intelligence and Data Engineering

Eligibility

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.

Study Campus

JAIN Global Campus
Faculty of Engineering & Technology
45th km, NH - 209, Jakkasandra Post
Bangalore - Kanakapura Main Road
Ramanagara District - 562 112

+91 80 46650130

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
080-69279444

About the program

The Artificial Intelligence & Data Engineering program focuses on providing students with the skills and knowledge needed to utilize trusted, AI-based, at-scale services (handling larger volumes) for business transformation and innovation.

The program offers additional data and platforms to enable faster and more reliable access to services. It also emphasizes operationalization, which helps students to overcome developmental delays that typically hinder AI (Artificial Intelligence) projects. The program enables students to benefit from all the core characteristics of a modern data & AI platform.

Why to take this course?

JAIN (Deemed-to-be University) in India has partnered with global partners to provide students with early employment opportunities. Through a comprehensive learning approach, students transition into Data Engineers in their second year, advance to Machine Learning Engineers in their third year, and ultimately specialize as AI Engineers upon graduation. The program offers paid internships from 2nd year, mentorship from industry professionals, and the chance to study abroad. Additionally, the course integrates global industry Certifications and emphasizes entrepreneurship, preparing students to become Technopreneurs.

Students enrolled in the this program have the opportunity to pursue the M.Tech in Data Engineering program at IIT Jodhpur. Admission to this program follows a specific set of criteria as given below:

  1. The candidate who achieves the highest ranking (Rank-1) upon completion of their B.Tech, factoring in their performance in internships, semester exams, overall CGPA, and other relevant criteria, will be granted a seat.
  2. Program Specific Outcome

    On completion of the Artificial Intelligence and Data Engineering program, students will possess the following program specific outcomes:

    • PSO 1: To design, develop and maintain the database systems by applying the learned skills of data warehousing and machine learning.
    • PSO 2: Ability to procure technical competency in programming, computer vision and data science skills to deliver profound solutions.

Enhance your B.Tech experience with the option to pursue a Minor Degree from IIITH and gain unique opportunities for academic and professional growth!

Key Highlights of the UG Minor Degree Program from IIITH:

Certificate Issuance:

  • Students will have the option to receive certificates from IIITH upon successful completion of each semester.
  • These certificates will be issued in three parts over the course of the program, recognizing incremental progress.

Minor Degree Recognition:

  • University has the discretion to award a minor degree to their students, utilizing the certificates issued by IIITH.
  • This option allows students to earn additional credentials and enhance their academic profile.

Research Internships:

  • Top performers in the Minor Program will be considered for research internships at IIITH.
  • These internships provide an excellent opportunity for students to gain hands-on experience and deepen their expertise in their field of study.

Note:

  • An additional cost is applicable for enrolling in the UG Minor Degree Program.
  • To earn the minor degree, students must earn an additional 20 credits on top of their regular credits as part of the curriculum.

Duration of the program: 4 years

Curriculum

  • Electrical and Electronics for Computational Thinking
  • Computational Physics
  • Computational Mathematics
  • Mind Management and Human Values-I
  • Design Thinking and Complex Problem Solving
  • Computational Chemistry
  • PCL 1- Research and Entrepreneurship Project
  • Computer Organization and Architecture
  • Programming in Java
  • Communicative English
  • Introduction to Python Programming
  • Data Structure using Java
  • Design Analysis of algorithms
  • Mind Management and Human Values-II
  • Operating Systems
  • Project-I
  • Database Management Systems
  • Essentials of Big Data
  • Environmental Studies
  • Scala Programming
  • Data Exploration and Preparation
  • Advanced Python Programming
  • Causal Reasoning
  • Essentials of Data Warehousing and Data Mining
  • Elective -1
  • Open Elective -1
  • Project Centric Learning-2
  • Big Data Analytics
  • NoSQL Databases
  • Computer Networks
  • Biology for Engineers
  • Internship -1
  • Project -II
  • Fundamentals of Artificial Intelligence
  • Indian Constitution
  • Statistics and Exploratory Data Analytics
  • Cloud computing and Virtualization
  • Fundamentals of Machine Learning
  • Elective -2
  • Open Elective -2
  • Scientific Writing
  • Project Centric Learning-3
  • Numerical Optimization
  • Introduction to Natural Language Processing
  • Elective -3
  • Internship -2
  • Project -III
  • Computer Vision and Image Processing
  • Data Streaming and Analysis
  • Intellectual Property Rights
  • Essentials of Deep Learning
  • Elective -4
  • Open Elective -3
  • Open Elective -4
  • Elective -5
  • Project -IV
  • Internship -3
  • Research

Department Specific Electives

DSE Tracks Elective-I Elective-II Elective-III Elective-IV Elective-V
3rd Semester 5th Semester 6th Semester 7th Semester 7th Semester
Track - I Artificial Intelligence and its solutions Intelligent Systems Domain Specific AI  Designing AI solutions Recommender Systems Human Computer Interaction (HCI)
Track - II Data Modelling and Analysis Spreadsheet Modeling Data Visualization and Storytelling Data Centers Social Network Analytics Time Series Analysis
Track - III High Performance Computing Fundamentals of Cloud Computing Edge Computing DevOps Cloud Computing architecture Geographic Information Systems (GIS) and Applications

Computer Science and Engineering (Open Elective Baskets)

Sl. No Finance and Accounting Entrepreneurship and new venture creation Marketing and Management
1 Finance for non-finance professionals Entrepreneurship Theory and Practice Marketing Management
2 Wealth Management   Launching and managing an enterprise   Consumer Behavior
3 Indian Financial System Business Plan and Project Implementation Brand Management
4 Financial Reporting Sustainable Entrepreneurship Product Management
  • Data Engineer
  • Data Analyst
  • System Architect
  • System Designer
  • Programmer Analyst
  • Software Architect
  • Artificial Intelligence Researcher
  • AI Labs
  • Software Engineer
  • Software Tester
  • Business Analyst
  • Microsoft Azure AI900 Certification
  • Advanced Machine Learning Engineer by GCP
  • AWS Certified Data Engineer- Associate

Note-

  1. The university will cover the cost of global certification (only for two certifications) and it is limited to one attempt. If students fail to complete the first certification, the university will not cover the cost for the second certification attempt.
  2. In the event that the certification industry changes the name of the certification, the university reserves the right to modify the name of the certifications accordingly.
  3. The university retains the authority to adjust the certification name it offers in accordance with industry trends.

Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.

  • Amazon
  • Microsoft
  • Google
  • Udemy