The Standard Fireworks Rajaratnam College

Department Profile

DEPARTMENT OF DATA SCIENCE

Department Establishment: 2024

VISION:

★ To impart quality education and produce socially responsible, ethical learners in the domain of data science with a focus to prepare them for the industry, engage them in potential research areas, to pursue and have continued professional growth to serve the society.

MISSION:

★ To equip learners with fundamental and advanced data analytic skills and excel in diverse professional environments.

★ To cultivate a deep understanding of statistical methods, machine learning algorithms, and data visualization techniques and extract actionable insights from complex datasets.

★ To encourage lifelong learning and continuous skill development and adapt to evolving trends and advancements in the field of data science.

B.Sc. Data Science

Name of the Programme	B.Sc. Data Science
Duration	3 Years
Intake	44
Eligibility	A candidate must have passed the Higher Secondary Examination of Tamil Nadu or an examination (like the CBSE) recognized by the universities as equivalent thereto with the following subjects in Part III: (a) Computer group: Computer Science (100) + Mathematics (100) + Physics (100) + Chemistry (100) (b) Non-Computer group: Mathematics (100) + Physics (100) + Chemistry (100) + Biology (100) in Plus Two.

PLOs -PSOs- PEOs

DEPARTMENT OF DATA SCIENCE

SYLLABUS 2024

Programme Learning Outcomes (PLO):
•   PLO1: Disciplinary knowledge
Apply the knowledge of Arts, Science and Humanities to address fundamental and complex questions appropriate to their programmes.
•   PLO2: Critical thinking, Problem solving and Analytical reasoning
Make use of appropriate knowledge and skills to identify, formulate, analyze and solve problems in order to reach substantiated conclusions.
•   PLO3: Research related skills and scientific reasoning
Critically analyze research processes, products and practices with a view of strategic use of data in their field.
•   PLO4: Communication skills and Digital literacy
Demonstrate skills in oral and written communication and make use of ICT in various learning ambience.
•   PLO5: Team work and Leadership quality
Interact productively with people from diverse backgrounds as both leaders/mentors and team members with integrity and professionalism.
•   PLO6: Multicultural competence with Moral and ethical awareness
Defend the society against gender and environmental issues with moral and ethical awareness.
•   PLO7: Self-directed and Life-long learning
Formulate their own educational needs in a changing world in ways sufficient to maintain their competence and to allow them to contribute to the advancement of knowledge.

Programme Educational Objectives (PEOs):
The Graduates will be prepared to
•   PEO1: be competent software professionals, take up progressive careers in industry and pursue higher studies.
•   PEO2: be proficient in developing innovative solutions to complex real life problems using existing and novel technologies and become ethical and responsible towards themselves, coworkers, society and nation.
•   PEO3: adapt to new technologies and constantly upgrade their skills to be a successful Entrepreneur.

Programme Specific Outcomes (PSO):
By the completion of the B.Sc Degree Programme in Data Science, the learners will be able to
•   PSO1: acquire a thorough understanding of the analytical perspectives and operational methodologies of Data Science.
•   PSO2: develop the skills to collect, clean, analyze, and interpret data using a variety of statistical methods and machine learning techniques.
•   PSO3: adapt and apply advanced mathematical techniques and data analytical tools to address and solve complex problems in the data domain.