Year of establishment: 2022
B.Tech. in Computer Science and Design (Data Science) (4 years) Year of commencement: 2022
Current Intake: 60
B.Tech in Data Science is a four-year undergraduate programme to provide an advanced learning opportunity for enthusiastic aspirants who wish to contribute to society by satisfying in-future industry demands for emerging skills and knowledge through interpreting data correctly, so that they can generate trend-setting ideas - today as well as in the future.
Digitalisation is the most important economic and social development of current time. Digital technology is significantly influencing our economy and at the same time satisfying all areas of interpersonal communication. It paves the way for new business models, with the help of consistent use of data, that were not previously possible. Data Science is therefore at the core of all digitalisation processes. This course aims at developing a strong engineering foundation with unique multi-disciplinary confluence of Computer Science, Computational Mathematics, Statistics and Management. After completion of this course, students will be able to demonstrate knowledge and skills related to data analytics, visualization, predictive modeling and analytics for data-driven decision making. The course will also include knowledge representataion. The course will also include knowledge representataion, machine learning and deep learning with relevant real-world applications.
Apart from core IT sector jobs, the students of B.Tech in CSE(Data Science) will have career opportunities in different private and public sectors with the following in-demand job roles:
After a few years of graduation, the graduates of B.Tech, CSE (Data Science) will
PEO 1: Be in regular employment in core IT industries or data science industries or will pursue higher studies or establish start-up companies.
PEO 2: Continue demonstrating life-long learning ability by acclimating to emerging technologies and accepting challenges to serve the nation by solving short-term or long-term societal problems as an individual or as a part of a team.
PEO 3: Demonstrate effective communication skills and exhibit leadership skills for achieving professional advancement without violating professional code of conduct.
On successful completion of the program, the graduates of B.Tech CSE (Data Science) will be able to:
PSO 1: Demonstrate fundamental knowledge and skills related to Data Science and relate them to real-world problems.
PSO 2: Apply fundamental statistical/mathematical methodologies and fundamental computational algorithmd to understand and design most elementary real-world problems related to data science and data engineering.
PSO 3: Integrate, analyze and visualize real world data by using modern tools for solving most elementary real-world problems.
PSO 4: Elaborate fundamental applications of data science in e-commerce, manufacturing, banking & finance, healthcare, transport and so on.
To transform the department into a centre of excellence for Computer Science and Engineering, through conscious, meaningful, devoted and determined effort of all the stake holders, by synergistic application of creativity, innovation, discipline and social consciousness.
To prepare the students for direct employment in various computer science and computer engineering related careers, pursuit of higher studies and / or research, or entrepreneurship in the field, by imparting them quality and value based education as per the needs of the society.
Dr. Saibal Majumder
B.Tech, M.Tech, Ph.D, PostDoc
Contact No:
Contact Email: saibal.majumder@bcrec.ac.in
Dr. Saibal Majumder | Assistant Professor |
INDRANIL SENGUPTA | Assistant Professor |
Quantum Computing
Reversible Logic Synthesis
Machine Learning
Uncertainty Theory
Evolutionary Algorithms
IoT
Citation Network
Name |
Year
|
Cite as MLA/APA/Vancouver/IEEE Format |
---|---|---|
Dr. Saibal Majumder | 2022 | Haresh Kumar Sharma, Saibal Majumder, Arindam Biswas, Olegas Prentkovskis, Samarjit Kar, Paulius Skačkauskas (2022) A Study on Decision-Making of the Indian Railways Reservation System during COVID-19, Journal of Advanced Transportation (SCIE) |
Dr. Saibal Majumder | 2023 | Criteria Selection of Housing Loan Based on Dominance-Based Rough Set Theory: An Indian Case (ABDC) |
Dr. Saibal Majumder | 2019 | Uncertain programming models for multi-objective shortest path problem with uncertain parameters (SCIE) |
Dr. Saibal Majumder | 2019 | A multi- objective multi-product solid transportation model with rough fuzzy coefficients (SCIE) |
Dr. Saibal Majumder | 2019 | Type-2 Multi-Fuzzy Sets and their Applications in Decision Making (SCIE) |
Dr. Saibal Majumder | 2019 | A method to solve linear programming problem with interval type-2 fuzzy parameters (SCIE) |
Dr. Saibal Majumder | 2018 | Rough-fuzzy quadratic minimum spanning tree problem (SCIE) |
Dr. Saibal Majumder | 2018 | Uncertain Multi-objective Chinese postman problem (SCIE) |
Dr. Saibal Majumder | 2018 | Uncertainty based genetic algorithm with the varying population for random-fuzzy maximum flow problem (SCIE) |
Dr. Saibal Majumder | 2018 | A new bi- objective fuzzy portfolio selection model and its solution through evolutionary algorithms (SCIE) |
Dr. Saibal Majumder | 2018 | Uncertain multi- objective multi-item fixed charge solid transportation problem with budget constraint (SCIE) |
Dr. Saibal Majumder | 2018 | Multi-criteria shortest path for rough graph (SCIE) |
Dr. Saibal Majumder | 2017 | Cross-entropy based multi-objective uncertain portfolio selection problem (SCIE) |
Dr. Saibal Majumder | 2021 | On type-2 fuzzy weighted minimum spanning tree (SCIE) |
Dr. Saibal Majumder | 2023 | Saibal Majumder, Rintu Kutum, Debnarayan Khatua, Arif Ahmed Sekh, Samarjit Kar, Mitali Mukerji, Bhavana Prasher (2023) On intelligent Prakriti assessment in Ayurveda: a comparative study, Journal of Intelligent & Fuzzy Systems, vol. 45, no. 6, pp. 9827-9844 (SCIE) |
Name |
Year
|
Cite as MLA/APA/Vancouver/IEEE Format | National/International |
---|---|---|---|
Dr. Saibal Majumder | 2023 | On Multi-objective Fuzzy Shortest Path Problem | International |
Dr. Saibal Majumder | 2023 | On multi-objective minimum spanning tree under the framework of uncertainty theory | International |
Dr. Saibal Majumder | 2023 | A design approach for traffic surveillance using real time computer vision for vehicle tracking | International |
Dr. Saibal Majumder | 2023 | Autonomous vehicle model for implementation and challenge in traffic observation and lane detection | International |
Name |
Year
|
Cite as MLA/APA/Vancouver/IEEE Format |
---|---|---|
Dr. Saibal Majumder | 2022 | Fuzzy Orienteering Problem Using Genetic Search eBook ISBN: 9781003307822 |
Dr. Saibal Majumder | 2018 | Mean-Entropy Model of Uncertain Portfolio Selection Problem eBook ISBN: 978-981-13-1471-1 |