B.Sc (H) – Data Science

The modern industry demand B.Sc (H) in Data Science – designed graduation program giving comprehensive knowledge about Artificial Intelligence(AI), Machine Learning, Cloud Computing With Data Analytics, Business Analytics, SAP, and more

Courses Curriculum

Eligibility: 10+2 Passed
Total Duration : 3 Years (2 Years of Classroom + 1 Year of Job-training)
Course Type : 100% Job-Assurance

Courses Includes:

Total Modules : 7
Durations : 4 Years
Students : 84
Language : English
Lessons : 12
Certifications : Yes

Courses Descriptions

This comprehensive Data Science program covers key areas such as statistics, programming, machine learning, AI, cloud computing, and big data. Students gain hands-on experience in Python, R, SQL, Power BI, and data visualization tools, along with industry-relevant skills in HR, marketing, and financial analytics. The course includes ethical hacking, cybersecurity, and research methodologies, culminating in a capstone project on machine learning to ensure real-world expertise.

Main Topics you’ll Learn it?

Programming & Database Management
Mathematics & Statistics for Data Science
Machine Learning & Artificial Intelligence
Data Processing & Visualization
Business & Financial Analytics
Cloud Computing & Cybersecurity
Project Work & Research

This Course Syllabus

Semester 1
- Descriptive Statistics
- Introduction to Programming in R
- Introduction to Database Management System & Data Warehousing
- Mathematics for Data Science 1
- Communicative English
- Indian society and culture
- Introduction to R Programming& Microsoft Excel
- Introduction to C Programming
- Entrepreneurship Skill Development
Semester 2
- Probability Theory 1
- Advanced Statistics
- Introduction to Python Programming
- Financial Accounting-II
- Business Ethics and Governance
- Introduction to Python and Programming
- Java Programming
- Entrepreneurship Skill Development
Semester 3
- Probability Theory and Bayesian Statistics
- Machine Learning and Deep Learning
- Packages in Python and Data processing
- Mathematics for Data Science -II
- Marketing Analytics
- Data Processing and EDA in Microsoft Power BI
- Entrepreneurship Skill Development
Semester 4
- Regression and Time Series
- Introduction to Cloud Computing
- Object Relational and NoSQL Databases
- HR Metrics and Analytics
- Operation Research and optimization techniques
- Object Relational and NoSQL Databases & Data visualization including R programming
- Data Visualization using Python Programming
- Entrepreneurship Skill Development
Semester 5
- Business Analysis
- Data Mining and Visualization Using R Programming
- Introduction to Artificial Intelligence
- Handling Human value in workplace
- Leadership and Skill development at Workplace
Semester 6
- Big Data Processing Techniques and Platforms
- Data Processing and Scrapping
- Ethical Hacking and Cyber Security
- Management Information System
- Capstone Project on Machine Learning
Semester 7
- Research Methodology
- Software engineering and Project Management
- Systematic Literature Review and Bibliometric Analysis
- Digital Marketing and E-Commerce in Data Science
Semester 8
- Graph Theory and Image processing
- Computer application and statistical tools for research
- Financial Analytics and Case Study
- Report Writing & Research Ethics and Skill Development

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