"Artificial Intelligence is the new electricity,” as rightly stated by British-born American computer scientist Professor Andrew Ng. The convergence of Artificial Intelligence (AI) and Data Science (DS) has opened new frontiers, enabling innovative solutions with the power to digitally transform businesses and society.
D. J. Sanghvi College of Engineering proudly offers a four-year B.Tech. programme in Artificial Intelligence and Data Science, one of the emerging domains identified by AICTE. The programme is designed with the objective of nurturing academic excellence, providing strong industry exposure, and creating outstanding career opportunities for students.
This interdisciplinary programme equips students with in-depth knowledge of core technologies such as Artificial Intelligence, Machine Learning, Data Mining and Modelling, Big Data Analytics, and Cloud Computing. The curriculum emphasizes both theoretical foundations and practical applications, enabling students to develop strong analytical and problem-solving skills.
Graduates of this programme are well-prepared for diverse career opportunities in sectors such as Healthcare, Business Analytics, E-commerce, Social Networking, Computational Linguistics, Biotechnology, Genetics, and any data-driven domain. The major focus of the programme is to train students in statistical tools, mathematical modelling, machine learning techniques, knowledge discovery, and data visualization, empowering them to apply AI techniques to real-world problems and perform intelligent data analysis effectively.
| Duration 4 Years |
Year of establishment 2021 |
Intake 60 |
||
| Degree B. Tech Artificial Intelligence and Data Science |
||||
This course is designed to teach the underlying concepts of AI, Machine Learning and Data Science and how they can be used to solve real-world problems. Students are expected to gain a deep knowledge of the math of machine learning, including relevant tools and languages, popular algorithms and their applications and usage of various visualisation tools.
Emerging technologies such as AI/ML, DS are turning out to be an essential part of the curriculum as it helps lay a strong foundation for students to stay relevant in the evolving jobs market. The data science and AI industry which is already facing a shortage in the number of skilled employees have a high lookout for candidates specialising in these skills.
According to the Jobs study by Analytics India Magazine, there has been an overall growth in the number of jobs in analytics and data science ecosystem, with India alone contributing to 6% of open job openings worldwide. It also suggested that the number of analytics and data science job positions available are 97,000, out of which 97% job openings in India are on a full-time basis.
This calls for the demand for highly specialised skilled employees and that too in large numbers. Keeping in line with this shortage, many universities including the IITs rolled out degree programmes and certifications in AI providing diverse options in technology courses.
Second Year
| Semester III | Semester IV |
|---|---|
| Engineering Mathematics-III | Statistics for Engineers |
| Data Structures and Algorithms | Artificial Intelligence |
| Database Management System | Foundation of Data Science |
| Operating Systems | Computer Networks & Security |
| Programming Laboratory-I (Python Programming) |
Programming Laboratory II (Web Development) |
| Constitution of India | Universal Human Values |
| Innovative Product Development I (A) | Innovative Product Development II (B) |
Third Year
| Semester V | Semester VI |
|---|---|
| Machine Learning |
Computer Vision-I |
| Advanced Algorithms |
Time Series Analysis |
| Cloud Computing |
Natural Language Processing |
| Data Engineering & Visualization Laboratory |
Open Source Technologies Laboratory |
| Department Elective 1-DevOps | Department Elective 1- MLOps |
| Department Elective 2- Spatial Data Analytics |
Department Elective 2- Game Programming |
| Department Elective 3-Computer Graphics & Virtual Reality |
Department Elective 3- Computational Intelligence |
| Department Elective 4- Web Programming |
Department Elective 4- Text, Web & Social Analytics |
| Environmental Studies | Professional Communication & Ethics |
| Innovative Product Development III (C) | Innovative Product Development IV (D) |
Fourth Year
| Semester VII | Semester VIII |
|---|---|
| Computer Vision-II | Reinforcement Learning |
| High Performance Computing | Secure Software Systems |
| UI/UX Design |
Adv. Business Intelligence |
| Robotics & AI |
Quantum AI |
| IoT & Edge Computing | Block Chain Architecture |
| Probabilistic Models | Web Intelligence |
| Institute Elective | Institute Elective |
| Project - I | Project - II |
View Syllabus:
DJ19
First Year B.Tech.
Second Year B.Tech.
Third Year B.Tech. (Sem V) (Sem VI)
Final Year B.Tech. (Sem VII) (Sem VIII)
DJS22
Second Year B.Tech. (Sem III) (Sem IV)
Third Year B.Tech. (Sem V) (Sem VI)
Final Year B.Tech. (Sem VII) (Sem VIII)
DJS23
Second Year B.Tech. (Sem III) (Sem IV)
Second Year B.Tech. (Sem III) (Revised) (Sem IV)
Third Year B.Tech. (Sem V) (Sem VI)
HONORS (DJ19)
Third Year_Sem V
Third Year_Sem VI
Final Year_Sem VII
Final Year_Sem VIII
HONORS (DJS22)
Third Year_Sem V
Third Year_Sem VI
Final Year _Sem VII
Final Year _Sem VIII
HONORS (DJS23)
Second Year_Sem III
Second Year_Sem III (Revised)
Second Year_Sem IV (Revised)
Third Year _Sem V
Third Year _Sem VI
