4
yrs Duration
60
Intake
About
The BE course in Artificial Intelligence and Data Science (AI&DS) was introduced at this institute in the year 2021 with an annual intake of 60 students. The course is affiliated to Visvesvaraya Technological University, Belagavi, and approved by AICTE, New Delhi. Artificial Intelligence and Data Science is a specialised programme designed to enable students to implement and develop intelligent business applications to solve various industrial problems, data-driven solutions, software applications with the combination of programming and machine learning techniques, etc. In addition to software engineering courses, the students of AI & DS study business intelligence, natural language processing, data security and privacy, data visualisation, full stack development, augmented reality, etc.
The students will gain cross-disciplinary skills such as computer science, machine learning, data science, statistics, and acquire domain knowledge in data handling, knowledge extraction, mobile and distributed application development, intelligence web/ecommerce development, database administration, and decision support systems. The professionals of AI and data science find career opportunities in IT industry, healthcare, business, eCommerce, social networking companies, and other similar areas.
The department has well equipped laboratories to conduct experimental works in Object-oriented programming languages such as Java and C++, Python, Database Management System and Machine Learning, Mobile Application Development, etc.
Vision
To become a leading center of excellence in Artificial Intelligence and Data Science by providing quality education, promoting research, and collaborating with industries to develop ethical professionals who drive innovation in technology and society.
Mission
Program Educational Objectives (PEOs)
The graduates of Artificial Intelligence and Data science from SDMIT will have the ability to:
- Apply AI, Data Science, and related knowledge to solve real-world problems and build successful careers in industry, research, and to become entrepreneurs.
- Demonstrate ethical values, teamwork, leadership, and strong communication skills.
- Continue learning and upgrading their skills to stay ahead in AI and Data Science advancements.
Program outcomes (POs)
After completion of B.E. in Artificial Intelligence and Data Science, the Graduates will be able to-
| PO1 | Engineering Knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. |
| PO2 | Problem analysis | Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| PO3 | Design/Development of solutions | Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. |
| PO4 | Conduct investigations of complex problems | Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. |
| PO5 | Modern tool usage | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. |
| PO6 | The engineer and society | Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to the professional engineering practice. |
| PO7 | Environment and sustainability | Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of and need for sustainable development. |
| PO8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. |
| PO9 | Individual and teamwork | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| PO10 | Communication | Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
| PO11 | Project management and Finance | Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
| PO12 | Life-long learning | Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
Program Specific Outcomes (PSOs)
| PSO 1 | Gain a strong understanding of AI and Data Science principles, including: computational intelligence, statistics, and machine learning, to solve complex real-world problems. |
| PSO 2 | Develop practical skills through projects, industry collaborations, and hands-on learning to build intelligent systems while following ethical guidelines. |
Teaching Staff
| Sl. No. | Name | Qualification | Designation | Date of Joining | Experience (Years) | ||||
|---|---|---|---|---|---|---|---|---|---|
| UG | PG | Ph.D | T (Teaching) | R (Research) | I (Industry) | ||||
| 1 | Dr. Antheesh R | BE | M.Tech | Ph.D | Associate Prof & HOD | 30-07-2013 | 13 | - | 3 |
| 2 | Mrs. Veena Bhat | BE | M.Tech | - | Asst. Professor | 23-08-2010 | 19 | – | 10 |
| 3 | Dr. Padma Prasada | BE | M.Tech | Ph.D | Asst. Professor | 15-10-2023 | 10 | - | 3 |
| 4 | Mr. Rama Murali Krishna P G | BE | M.Tech | (Ph.D) | Asst. Professor | 13-08-2025 | 11 | - | - |
| 5 | Ms. Rashmi G S | BE | M.Tech | - | Asst. Professor | 29-06-2026 | 2 | - | 8 |
| 6 | Mr. Jayaprasad | BE | M.Tech | - | Asst. Professor | 01-09-2026 | 2 | - | 2 |
| 7 | Mr. Charan S M | BE | M.Tech | - | Asst. Professor | 01-09-2026 | - | - | - |
| 8 | Mrs. Shadvala K Sebastian | BE | M.Tech | - | Asst. Professor | 01-09-2026 | 1 | - | - |
Non-Teaching Staff
| Sl. No. | Name | Qualification | Designation | Date of Joining | Experience (Years) |
|---|---|---|---|---|---|
| 1 | Ms. Radhika | Diploma in CSE | Instructor | 27-10-2022 | 3 |
| 2 | Ms. Abhishree | Diploma in CSE | Instructor | 24-02-2025 | 1 |