DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING (DATA SCIENCE)
Department profile
St. Thomas College of Engineering and Technology (STC) Chengannur was established during the academic year 2026-2027. The Department of Computer Science and Engineering (Data Science) is the youngest department in the STC family. It was formed by the bifurcation of the parent Computer Science and Engineering department. A team of dedicated & well-qualified faculty members having expertise in diversified areas of Data Science & Analytics under the headship of HOD is running the department.
Department currently offers following course :
- B.Tech in CSE(Data Science) ( 60 Seats )
B.Tech in CSE (Data Science) in the year 2026. The courses offered in this department aim at helping students to acquire all the basic and advanced level skills & knowledge that are crucial in the field of Computer Science, Data Analytics, and Big Data Technologies. In addition to academics, the department conducts several extra-curricular and co-curricular activities that aim at the holistic development of the students.
Why STC CSE(Data Science)
We believe in delivering a state of the art experience to every student undertaking our programmes.
- A team of dedicated & well qualified faculty members having expertise in diversified fields of Data Science.
- Well-equipped labs with state of the art machines.
- Add-on courses.
- Industry – academia tie-up to help students undertake internship & thereby equip them for productive carrier.
Choosing the CSE department means committing to a future of innovation, problem-solving, and endless possibilities. Whether you aspire to work in a high-tech company, start your own tech venture, or contribute to groundbreaking research, the CSE department provides the foundation and opportunities needed to achieve your goals.
To excel in technical competence and social commitment within the domain of Computer Science, with a focus on Computational Intelligence.
1. Empower students with theoretical foundations and technical proficiency in
the fields of Intelligent Automation
2. Nurture a passion for lifelong learning through interactions with industry and
institutions of national and international importance.
3. Inculcate a sense of moral and societal obligation to ensure human welfare.
To excel in technical competence and social commitment within the domain of
Computer Science, with a focus on Computational Intelligence.
1. Empower students with theoretical foundations and technical proficiency in
the fields of Intelligent Automation
2. Nurture a passion for lifelong learning through interactions with industry and institutions of national and international importance.
3. Inculcate a sense of moral and societal obligation to ensure human welfare.
Dr. Teena Joseph
Professor and Head Department of
CSE(Data Science)
hodds@stthomascollege.ac.in
Message from the HoD
The BTech CSE (Data Science) program stands at the forefront of innovation, offering students a unique opportunity to delve into the realms of data analytics and predictive modeling – two of the most transformative domains of our time. As the world increasingly relies on data-driven decision-making, big data infrastructure, and business intelligence, the demand for professionals proficient in Data Science continues to soar.
The future scope of the BTech CSE (Data Science) program is not only promising but also expansive. Graduates of this program are poised to embark on fulfilling careers across diverse industries, including but not limited to healthcare, finance, manufacturing, e-commerce, and corporate strategy.
Moreover, the BTech CSE (Data Science) program is meticulously designed to blend cutting-edge technology with a comprehensive understanding of foundational computer science principles. Students will not only gain expertise in statistical analysis, data engineering pipelines, and data visualization tools but also cultivate a strong computational foundation that enables them to adapt to evolving technological landscapes.
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, review 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 modeling to complex engineering activities with an understanding of the limitations.
PO6: The engineer and society:
Apply reasoning informed by the 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 the 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 the engineering practice.
PO9: Individual and team work:
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.
1.Enhance skills in the fields of artificial intelligence and machine learning.
2.Equip themselves to become effective academics and professionals with a sense of social responsibility.
3. Effortlessly demonstrate mastery of ethical behavior, teamwork, and lifelong learning.
PSO1: Ability to enhance problem identification and analysis by applying the concepts of computer and intelligent system.
PSO2: Create ability to design and develop solutions for real-world problems through projects, internships, and experiments.
News & Events
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CSE(AIML) Dept is organizing 5 days Online FDP on "Emerging Trends in Artificial Intelligence and Machine Learning for Computer Science Educators" -
7 Students got Selected for Internship at Secneural Cyber Security, Doha -
Congratulations to Shiya Davis and Team for Starting their New Journey with Company Green Heaven -
Congratulations to Sidharth T V, Joe Paul,Fayas P M of AI&ML Department for their Effort -
Congratulations to the Students From S6 AIML