Computer Science Engineering with data science
Transforming Ideas into Digital Solutions at the Best Private University in Junagadh
Latest News and Events
Result Declaration – B.Tech Sem 2 Remedial Exam (Winter 2023)
Results for the Remedial Examinations of B.Tech Semester 2, held during Winter 2023, have been declared.
Remedial Result Declaration for B.Tech Sem 1
Results for the Remedial Examinations of B.Tech Sem 1 have been declared
Result Notification – B.Tech Sem – 3 (Regular), M.Tech, Diploma Sem – 2 (Remedial) and BCA Sem – 1 (Remedial) Winter 2023-24
Result Notification - B.Tech Sem - 3 (Regular), M.Tech, Diploma Sem - 2 (Remedial) and BCA Sem - 1 (Remedial) Winter 2023-24
Expert Talk on Graphics Design Using Photoshop
Dr. Subhash University, CSE/IT Department Organized Expert Talk on Graphics Design Using Photoshop
Expert Talk on Basic To Advance Excel
CSE/IT Department Organized Expert Talk on Basic To Advance Excel
Workshop on “Cyber Security”
Dr. Subhash University CSE/IT Department Organized Workshop on “Cyber Security”
Faculty Development Program on cloud computing using Amazon Web Services (AWS)
Speaker: Hiren Anandwani (CEO, Softrefine PVT LTD)
Date: 21st and 22nd - January-2022
Time: 9:30 AM (onwards)
Topics: Create AWS Account, Deployment WEB services on AWS Server, Use of cloud server.
Hands on Workshop on PL/SQL Programming
Title: Hands-on Workshop on PL/SQL Programming Speaker: Prof. Anju K. Kakkad & Prof. Divyarajsinh N. Parmar Date: 02nd Dec 2021 Time: 10:00 AM to 1:00 PM Topics: Introduction of PL/SQL & Basic of PL/SQL
Hands-On Workshop on Programming in C
Speaker: Prof. Bhoomi M. Bangoria & Prof. Mayur M. Jani
Date: 25th November 2021
Time: 10:00 AM to 1:00 PM
Topics: Basic of C
Hands-On Workshop on SQL Programming
Speaker: Prof. Anju K. Kakkad & Prof. Divyarajsinh N. Parmar
Date: 24th Nov 2021
Time: 10:00 AM to 1:00 PM
Topics: Introduction of SQL & Basic of SQL
A Workshop on Full Stack Development with Angular JS and Node JS
Speaker: Mr. Akash Padhiyar, CEO-Akash Technolobs, Ahmedabad.
Date: 27th September 2021 to 1st Oct 2021
Time: 09:00 AM (IST)
Help Desk: 9974056708, 7600173185
Introduction to course
The B.Tech in Computer Science & Engineering with specialization in Artificial Intelligence and Data Science (AI & DS) at Dr. Subhash University is a dynamic and industry-oriented program crafted to prepare students for the evolving tech landscape. The course integrates core principles of computer science with powerful tools of AI and the data-driven decision-making of Data Science. Students gain in-depth knowledge in areas such as machine learning, data visualization, deep learning, big data analytics, and cloud computing—enabling them to create intelligent systems that solve complex real-world problems.
Mission
- To impart quality education in Computer Science with a focus on AI and Data Science technologies.
- To equip students with skills in data-driven analysis, intelligent algorithms, and system development.
- To foster innovation, research, and ethical practices for building a smarter and data-literate world.
- To create industry-ready professionals who contribute to technological advancements and societal needs.
Vision
To be a leading academic hub for Artificial Intelligence and Data Science education and research, empowering students to become innovators, leaders, and problem-solvers in the digital era.
Course objective
- To build a solid foundation in computer science fundamentals, software development, and programming.
- To provide specialized training in artificial intelligence, machine learning, and modern data science techniques.
- To enable students to collect, analyze, and visualize large-scale data to support strategic decisions.
- To develop analytical thinking, problem-solving abilities, and a research-oriented mindset.
- To promote entrepreneurship, ethical AI practices, and lifelong learning in a data-driven world.
Course outcome
Graduates of this program will be able to:
- Apply AI and data science techniques to design intelligent systems and predictive models.
- Develop scalable and efficient data-driven applications using programming and machine learning.
- Analyze and interpret large volumes of data for decision-making across multiple industries.
- Implement data visualization tools and statistical methods to uncover insights and patterns.
- Demonstrate strong communication, teamwork, and leadership skills in professional environments.
- Pursue successful careers as AI engineers, data scientists, analysts, and researchers in top organizations or startups.
Admission procedure
Eligibility:
- The student who has qualified HSC or equivalent examination in Science stream from recognized board or body is eligible for admission in B.Tech. programme.
|
Board |
Category |
Theory Marks |
Theory + Practical Marks |
|---|---|---|---|
|
GSEB |
Open |
135 / 300 |
180 / 400 |
|
GSEB |
Reserve |
120 / 300 |
180 / 400 |
|
Other Boards |
Open |
108 / 240 |
135 / 300 |
|
Other Boards |
Reserve |
96 / 240 |
120 / 300 |
Admission Process:
- Purchase a PIN and Booklet from the recognized bank as informed by the Admission Committee.
- Submit an online form with necessary details and upload the documents on the admission portal.
- Make suitable choice filling as suggested by the admission committee in due time.
- Once the seat allocation is done and a seat is allotted to you, confirm your admission and pay necessary fees online on the portal.
- Take print of confirmation letter and payment receipt and report to the allotted institute in prescribed time duration.
Curriculum
- Duration: 4 years
- Fees: Rs. 77,175
- Intake: 60
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3110014 | Mathematics-I | 3 | 2 | 0 | 5 |
| 3110018 | Physics Group - I | 3 | 0 | 2 | 4 |
| 3110005 | Basic Electrical Engineering | 3 | 0 | 2 | 4 |
| 3110013 | Engineering Graphics & Design | 2 | 0 | 4 | 4 |
| 3110006 | Basic Mechanical Engineering | 3 | 0 | 2 | 4 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3110002 | English | 2 | 0 | 2 | 3 |
| 3110003 | Programming for Problem Solving | 3 | 0 | 2 | 4 |
| 3110007 | Environmental Science | 2 | 2 | 0 | 0 |
| 3110012 | Workshop/ Manufacturing Practices | 0 | 0 | 4 | 2 |
| 3110015 | Mathematics-II | 3 | 2 | 0 | 5 |
| 3110016 | Basic Electronics | 3 | 0 | 2 | 5 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3130006 | Probability and Statistics | 3 | 2 | 0 | 5 |
| 3130702 | Data Structures | 3 | 0 | 4 | 5 |
| 3130703 | Database Management System | 4 | 0 | 2 | 5 |
| 3130704 | Digital Fundamentals | 3 | 0 | 2 | 4 |
| 3130008 | Design Engineering - I A | 0 | 0 | 2 | 1 |
| 3130007 | Indian Constitution | 2 | 0 | 0 | 0 |
| 3130004 | Effective Technical Communication | 2 | 0 | 2 | 3 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3140702 | Operating System | 4 | 0 | 2 | 6 |
| 3140705 | Object Oriented Programming -I | 4 | 0 | 2 | 6 |
| 3140707 | Computer Organization & Architecture | 0 | 0 | 2 | 5 |
| 3140708 | Discrete Mathematics | 3 | 0 | 2 | 5 |
| 3140005 | Design Engineering 1 B | 0 | 0 | 2 | 1 |
| 3140709 | Principles of Economics and Management | 3 | 0 | 0 | 3 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3150001 | Design Engineering - II A | 0 | 0 | 2 | 1 |
| 3150004 | Contributor Personality Development Program | 2 | 0 | 0 | 2 |
| 3150005 | Integrated Personality Development Course | 2 | 0 | 2 | 2 |
| 3150703 | Analysis & Design of Algorithms | 4 | 0 | 2 | 5 |
| 3150709 | Professional ethics | 3 | 0 | 0 | 3 |
| 3150710 | Computer Networks | 4 | 0 | 2 | 5 |
| 3150714 | Cyber Security | 2 | 0 | 2 | 3 |
| 3151604 | Software Engineering | 3 | 0 | 2 | 4 |
| 3151605 | Computer Graphics | 3 | 0 | 2 | 4 |
| 3151606 | Python for Data Science | 2 | 0 | 2 | 3 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 3160001 | Design Engineering II B | 0 | 0 | 2 | 1 |
| 3160002 | Contributor Personality Development Program | 2 | 0 | 2 | 2 |
| 3160003 | Integrated Personality Development Course | 2 | 0 | 0 | 2 |
| 3160704 | Theory of Computation | 4 | 1 | 0 | 5 |
| 3160707 | Advanced Java Programming | 3 | 0 | 2 | 4 |
| 3160712 | Microprocessor and Interfacing | 3 | 0 | 2 | 4 |
| 3160713 | Web Programming | 3 | 0 | 2 | 4 |
| 3160714 | Data Mining | 3 | 0 | 2 | 4 |
| 3160715 | System Software | 3 | 0 | 2 | 4 |
| 3160716 | IOT and applications | 2 | 0 | 2 | 3 |
| 3160717 | Data Visualization | 2 | 0 | 2 | 3 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 2170002 | Project | 0 | 0 | 5 | 5 |
| 2170709 | Information and Network Security | 4 | 0 | 2 | 6 |
| 2170710 | Mobile Computing and Wireless Communication | 4 | 0 | 2 | 6 |
| 2170715 | Data Mining and Business Intelligence | 4 | 0 | 2 | 6 |
| 2171607 | Big Data Analytics | 3 | 0 | 2 | 5 |
| 2170713 | Service Oriented Computing | 3 | 0 | 2 | 5 |
| 2170714 | Distributed DBMS | 3 | 0 | 2 | 5 |
| GTU Code | Subject | Theory(Hrs) | Tutorial(Hrs) | Practical(Hrs) | Credits |
|---|---|---|---|---|---|
| 2180703 | Artificial Intelligence | 4 | 0 | 2 | 6 |
| 2180606 | Project (Phase-II) | 0 | 0 | 16 | 16 |
| 2180709 | IOT and Applications | 3 | 0 | 2 | 5 |
| 2180711 | Python Programming | 3 | 0 | 2 | 5 |
| 2181607 | Mutlimedia and Animation | 3 | 0 | 2 | 5 |
| 2180713 | Web Data Management | 3 | 0 | 2 | 5 |
| 2180712 | Cloud Infrastructure and Services | 3 | 0 | 2 | 5 |
| 2180714 | iOS Programming | 3 | 0 | 2 | 5 |
Faculty
Labs and facilities