B.Sc CS with Data Analytics
Overview
The Department of Computer Science with Data Analytics established in the year 2021 with the aim of providing high quality undergraduate education in computer science and data analytics by enhancing teaching effectiveness and facilities for students to access and gain practical experience. The Department is unique in terms of identifying the hidden talents of the students by conducting International Conferences, National Level Hackathon and Skill Development Programmes. The Department provides effective academic advising to promote student learning and development outcomes and the Department will serve the Parent University and the nation through the practice of professional activities and service in the computing field.
The Training for the students is provided from the beginning of the semester for better placements at the end of the Year. The Students are given all the freedoms to conduct the programmes which are emerging and make them actively contributing their knowledge to grow in their careers.
Vision
To create the most conducive environment for quality academic and Industry ready for undergraduate education in computer science and data analytics and prepare the students for a globalized technological society and orient them towards serving the society.
Mission
The mission of the Computer Science Department is to prepare students for careers as Software Professionals, Government Sectors, Entrepreneurship and for advanced studies in Computer Science and lifelong learning.
Duration
3 Years
Commencement
July – Every Year
Intake
50
Eligibility
HSC Pass
Dr.A.Muthuchudar
Assistant Professor and HOD
Dr.A.Muthuchudar
MCA.,M.Phil.,Ph.D.
Email : muthuchudara@sankara.ac.in
Exp: Teaching: 13 Years
Profile
Mr.A.JAYACHANDRAN
Asst. Professor
Ms.M.Sridevi
Asst. Professor
Outcome Based Education Curriculum
Programme Educational Objectives
- PEO1 : Develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics
- PEO2 : Apply principles of Data Science to the analysis of business problem
- PEO3 : Demonstrate knowledge of statistical data analysis techniques utilized in business decision making
Programme Outcomes
- PO1 : Exhibit good domain knowledge and completes the assigned responsibilities effectively and efficiently in par with the expected quality standards
- PO2 : Apply analytical and critical thinking to identify, formulate, analyze, and solve complex problems in order to reach authenticated conclusions
- PO3 : Design and develop research based solutions for complex problems with specified needs through appropriate consideration for the public health and safety,
environmental issues, cultural and societal concerns. - PO4 : Establish the ability to Listen, read, proficiently communicate and articulate complex ideas with respect to the needs and abilities of diverse audiences
- PO5 : Acquire the qualities of a good leader and engage in efficient decision making
- PO6 : Deliver innovative ideas to instigate new business ventures and possess the qualities of a good entrepreneur
- PO7 : Graduates will be able to undertake any responsibility as an individual/member of multidisciplinary teams and have an understanding of team leadership
- PO8 : Function as socially responsible individual with ethical values and accountable to ethically validate any actions or decisions before proceeding and actively
contributes to societal concerns - PO9 : Identify and address own educational needs in a changing technology world in ways sufficient to maintain the competence and to allow them to contribute to
advancement of knowledge - PO10 : Demonstrate knowledge and understanding of management principles and apply these to one own work to manage projects and in multidisciplinary environment
Why Study B.Sc CSDA at SANKARA ?
Highlights of B.Sc CSDA
- Qualified and Dedicated Faculty Team
- Extensive Career Guidance and Life Skills Programme
- Introduced Tech Tuesday for technology upgradation awareness
- Game Based Learning with KAHOOT and SOCRATIVE applications
- Extension activities beyond the curriculum
- Game Plays like Hackathons and Codeathons to enhance coding skills
Highlights of B.Sc CSDA
- Excellent placement records consecutively
- Value Added and Certification programme to boost the curriculum
- MOOC Certification Programmes
- Industry Institute Forum for industry exposure
- Visit to IITs and Other Universities for global events participation
- Mandatory Project credit course in final semester
