BSc Data Science
Program Overview
Career Opportunities
After completion of Under Graduate programme in Data science offered by the Department of Computer Science, the students get the world of opportunities in various categories as follows:
- IT organizations
- All Banking / Financial institutions
- IOT & its development along with data science
- Firmware development
- ITES organizations
- Research and Development (R & D) of IT sector
Programme USPs
- Most attractive course with high calibre and lucrative career opportunities in data science and other trending technologies.
- A Plethora of career opportunities in various IT Sectors as well as other Government sectors throughout the globe.
- Progression to higher studies in various disciplines and Research Programmes in thrust areas.
Programme Outcomes
Upon completion of the programme, the students are expected to have acquired:
- Build fundamental understanding of key technologies and tools driving data science for the development of machine learning models for businesses at global level.
- Formulate, solve and analyze complex problems using the Mathematical and Statistical principles.
- To apply Machine Learning, Deep Learning and Artificial Intelligence to make strategic business decisions for real datasets.
- Apply Data visualization techniques and tools to get better insights of data and arrive the best outcomes upon the selection and processing of large data sets.
Eligibility Criteria
H.S.C. Passed and wherever the students have not studied Mathematics knowledge be imparted through Residential/ Bridge Course, as per Bharathiar University norms.
Programme Duration
3 YEARS (6 SEMESTERS)
Programme Type
Regular
Programme Structure
SEMESTER I
- Language – Tamil I/ Malayalam I/ Hindi I/ French I/ Arabic I
- English I
- Computer Fundamentals and Python Programming
- Database Management System with SQL
- Python Programming & SQL Lab
- Allied I – Descriptive Statistics
- Value Education(VE)–Ethics and Culture
SEMESTER II
- Language – Tamil II/ Malayalam II/ Hindi II/ French II/ Arabic II
- English II
- Data Analytics
- Applied Data Structures
- Data Analytics Lab
- Allied II –Mathematical Foundations for Machine Learning
- Environmental Studies(ES)
- Modular: Module I-Course I: Internet Basics Lab
SEMESTER III
- Language – Tamil III/ Malayalam III/ Hindi III/ French III/ Arabic III
- English III
- Data Engineering
- ETL Lab
- Allied III – Inferential Statistics
- Skill Based Course (SBC) I – Digital Marketing
- Modular: Module I-Course II Data Mining Tool Lab
SEMESTER IV
- Language – Tamil IV/ Malayalam IV/ Hindi IV/ French IV/ Arabic IV
- English IV
- R Programming
- R Programming Lab
- Optimization Techniques
- Skill Based Course (SBC) II – Mini Project using Python /R – Lab
- Modular: Module II-Course I – Excel for Data science – I –Lab
SEMESTER V
- Data Visualization
- Artificial Intelligence
- Machine Learning Techniques
- Data Visualization Lab
- Skill Based Course (SBC) III – Social Media Analytics
- Extra Disciplinary Course
- Modular: Module II-Course II-Excel for Data science –II-Lab
SEMESTER VI
- Natural Language Processing
- Data Security and compliance
- Deep Learning
- Natural Language Processing Lab
- Project Viva voce
- Skill Based Course(SBC) IV – Computer Vision
- Modular: Module II-Course III- Big data Analytics Tool – Lab
Credits & Evaluation
- Semester-wise/ year-wise
- Date of the last semester-end / year-end (for non-semester) examinations
- Date of declaration of results of semester-end/ year-end examinations
- Number of days taken for declaration of results for semester-end/ year-end examinations
