B.Sc - Data Science and Analytics
Overview:
Data science is a field of study that uses large amounts of data to find hidden trends and patterns. This information can be used to make better decisions. Companies collect vast amounts of data, and they use data science tools and techniques to build predictive models.
B.Sc Data Science and Analytics is a field that can be easy to learn with proper guidance. However, it is a vast field, and it can be easy for beginners to get lost. Our B.Sc Data Science and Analytics Programme can help you learn all the concepts from the beginning.
Some Highlights of B.Sc Data Science and Analytics:
| Name Of The Course | B.Sc Data Science and Analytics |
| Full Form | Bachelor of Science in Data Science and Analytics |
| Level | Undergraduate |
| Duration | 3 Years |
| Examination Type | Semester System |
| Eligibility | Minimum 50% in 12th Board Exams |
| Admission Process | Entrance/Merit Based, Direct |
| Average Course Fees | ₹ 80 K To ₹ 4.5 L |
| Average Annual Salary | ₹ 3.0 LPA To ₹ 5.0 LPA |
| Top Recruiters | Cartesian Consulting, Publicis Sapient, Tredence Inc., Wipro Ltd., Oracle, Accenture, MuSigma, IBM, Amazon, TEG |
|
| Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager |
Top Colleges Offering B.Sc - Data Science and Analytics:
- Kristu Jayanti College - [KJC]
- Rathinam College of Arts and Science - [RCAS]
- Loyola Academy Degree and PG College
- Patrician College of Arts and science
- Symbiosis Skills & Professional University - [SSPU]
- KSR College of Arts and Science College (Autonomous)
- SRM Institute of Science and Technology, Trichy
- Rathinam College of Arts and Science - [RCAS]
- Dr. M.G.R. Educational and Research Institute
- Sathyabama Institute of Science and Technology
- Sri Ramachandra Institute of Higher Education and Research
- Alliance University, Bangalore
Why Choose BSc Data Science:
If you are genuinely interested to study Data Science and its various aspects, then BSc Data Science and Analytics is a perfect course for you.
Skills and Knowledge:
- This course imparts the skills required to study, analyze and predict solutions across various sectors like manufacturing, healthcare, banking, finance, marketing, business strategies, etc.
- After completion of this course, you will be able to deal with large sets of data and you will become an expert in programming, machine learning, data wrangling, data intuition, software engineering, data visualization, etc.
- Core programming languages include Java, SQL, Python, R, SAS, Scala, Julia, MATLAB, along with the knowledge of Tableau, Hadoop, and other tools.
Admission Proceure For BSc Data Science and Analytics:
Admission to this course usually takes place on the basis of merit and performance in the university level Common Entrance Tests. The minimum eligibility required is the completion of Class 12 with Science stream (Physics, Chemistry, Mathematics).
Eligibility For BSc Data Science and Analytics
A Pass in +2/HSC (or equivalent) with “Computer Science or Information Technology or Information Practice” or “Mathematics or Business Mathematics or Statistics” as one of the subjects
Career Opportunities:
Data Science is considered one of the top 50 trendiest jobs in the world. Therefore, today is the right time to pursue this specialized course teaching you various aspects of data collection, data extractions, data analyses, data mining, data visualization, etc across diverse sectors of business, healthcare, logistics, banking and others.
According to LinkedIn, Data Science is the future of business and e-commerce world.
You not only can earn a higher salary and get a stable career, but you can also explore and learn different techniques and technologies involved in the process.
Most of the engineers these days want to learn the basics of data science to learn and apply analysis in different types of data and extract valuable information from it.
Data Scientist
Process Analyst
Data Solutions Analyst
Business Analyst
Statistical Analyst
Web & Social Media Analyst
CRM Analyst
Business Intelligence Analyst
Data Architect
Data Mining Engineer
Database Administrator
Deloitte
Amazon
TCS
Accenture
IBM
NABARD
NIUA
THSTI
RBI
ISRO
B.Sc - Data Science and Analytics Syllabus:
Semester 1
Communicative English
Linear Algebra & Calculus
Computer Architecture
Problem Solving and Programming using C
Digital System Design
Ethics And Human Values
Semester 2
Principles of Data Science
Fundamentals of Statistics
Operating Systems
Database Management System
Computer Networks
Statistics and Data Science Lab
Database Management System (DBMS) Laboratory
Operating Systems and Networks Laboratory
Semester 3
Probability Theory
Cloud Computing
Advanced Database Technologies
Web Programming
Data Mining
Operation Research
Data Mining Lab
Cloud Computing and Web Programming Lab
Semester 4
Data Handling and Visualization
Machine Learning
PEC1
Optimization Techniques
Big Data Analytics
Machine Learning Lab
Big Data Analytics Lab
Data Handling and Visualization lab
Semester 5
Deep Learning
Natural Language Processing
PEC 2
PEC 3
Deep Learning Lab
Natural Language processing Lab
Phase I Project
Semester 6
Stream Processing Analytics
PEC 4
PEC 5
Phase II project