Business Analytics & Data Science
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Specialized Integrated Programs (B.Sc. + M.Sc. IT)
- Artificial Intelligence & Machine Learning
(B.Sc. + M.Sc. ) IT Programs (05 Years)
- Animation & VFX and Game Design
(B.Sc. + M.Sc. ) IT Programs (05 Years)
- Business Analytics & Data Science
(B.Sc. + M.Sc. ) IT Programs (05 Years)
- Cyber Security and Digital Forensics
(B.Sc. + M.Sc. ) IT Programs (05 Years)
- IT IMS & Cloud Technology
(B.Sc. + M.Sc. ) IT Programs (05 Years)
- Web & Mobile App Development
(B.Sc. + M.Sc. ) IT Programs (05 Years)
Specialized Integrated Programs ( M.Sc. IT)
- Animation & VFX
(M.Sc. IT) Programs (02 Years)
- Cyber Security and Digital Forensics
(M.Sc. IT) Programs (02 Years)
- Data Science
(M.Sc. IT) Programs (02 Years)
- IT IMS & Cloud Technology
(M.Sc. IT) Programs (02 Years)
- Web & Mobile App Development
(M.Sc. IT) Programs (02 Years)
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Business Analytics & Data Science
- Integrated B.Sc. + M.Sc. IT
- Monark University & Gandhinagar University
- 05 Years
Business Analytics & Data Science Integrated Courses (5 Years) at Monark University and Gandhinagar University offer a comprehensive blend of analytical and data-driven skills. The program combines foundational business knowledge with advanced data science techniques, equipping students to handle big data, statistical analysis, and predictive modeling. It emphasizes real-world applications in industries such as finance, marketing, and operations. Students gain proficiency in tools like Python, R, and SQL, preparing them for data-centric roles. The integrated course structure ensures a seamless transition from undergraduate to postgraduate levels, with industry internships and projects enhancing practical learning.
This 5-year integrated program blends business analytics and data science, providing students with a solid foundation in business principles along with advanced data handling, statistical analysis, and machine learning techniques. Students will master tools like Python, R, and SQL, applying these skills to solve real-world challenges in finance, marketing, and more. With a focus on both theory and practical applications, the course offers industry projects and internships to prepare students for data-driven roles in a variety of sectors.
- Semester 1 & 2: Introduction to Business Management, Fundamentals of Statistics, Basics of Programming (Python/Java), and Business Communication.
- Semester 3 & 4: Principles of Micro & Macro Economics, Advanced Mathematics, Database Management (SQL), and Fundamentals of Data Science.
- Semester 5 & 6: Business Analytics Techniques, Data Visualization (using Tableau/PowerBI), Probability & Hypothesis Testing, and Marketing Analytics.
- Semester 7 & 8: Machine Learning Algorithms, Predictive Modeling, Operations Research, and Financial Analytics.
- Semester 9 & 10: Big Data Analytics, Artificial Intelligence, Capstone Project, and Industry Internship.
- 05 Years
Syllabus
- Semester 1 & 2 :
- Introduction to Business Management
- Fundamentals of Statistics
- Basics of Programming (Python/Java)
- Business Communication
- Semester 7 & 8 :
- Machine Learning Algorithms
- Predictive Modeling
- Operations Research
- Financial Analytics
- Semester 3 & 4 :
- Principles of Micro & Macro Economics
- Advanced Mathematics
- Database Management (SQL)
- Fundamentals of Data Science
- Semester 9 & 10 :
- Big Data Analytics
- Artificial Intelligence
- Capstone Project
- Industry Internship.
- Semester 5 & 6 :
- Business Analytics Techniques
- Data Visualization (using Tableau/PowerBI)
- Probability & Hypothesis Testing
- Marketing Analytics