Data Science
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Specialized Integrated Programs (B.Sc. + M.Sc. IT)
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(B.Sc. + M.Sc. ) IT Programs (05 Years)
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(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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Swarnim India Charitable Foundation is a non-profit (section-8) company having its basic instinct to cater student community by providing the best technology education and management education with the help of experts.
Data Science (M.sc. IT ) Programs
- M.Sc. IT Program
- Monark University & Gandhinagar University
- 02 Years
The M.Sc. in Data Science at Monark University & Gandhinagar University is a two-year program designed to equip students with advanced analytical skills and knowledge in data handling, statistical analysis, and machine learning. The curriculum includes hands-on training in programming languages such as Python and R, along with exposure to big data technologies and tools. Students engage in real-world projects and internships, fostering practical experience and industry readiness. Emphasizing research and innovation, the program prepares graduates for careers in data analytics, artificial intelligence, and various data-driven sectors. Graduates will be well-positioned to tackle complex data challenges in today’s technology-driven landscape.
The M.Sc. in Data Science at Monark University & Gandhinagar University is a comprehensive two-year program that focuses on developing expertise in data analysis, statistical modeling, and machine learning. Students will gain proficiency in programming languages like Python and R, alongside exposure to big data technologies and data visualization tools. The curriculum emphasizes hands-on learning through projects, internships, and collaboration with industry professionals, ensuring practical experience. Additionally, the program fosters critical thinking and problem-solving skills, preparing graduates for diverse careers in analytics, AI, and data-driven industries. Ultimately, this course aims to create skilled data scientists capable of addressing real-world challenges.
Industry-Relevant Curriculum: The program is designed to align with current industry demands, covering essential topics such as machine learning, big data analytics, and data visualization, ensuring that students are well-prepared for the job market.
Hands-On Experience: Students engage in practical learning through projects, internships, and workshops, allowing them to apply theoretical knowledge to real-world problems and gain valuable experience.
Expert Faculty: The program is led by experienced faculty members with expertise in data science and related fields, providing students with insights and mentorship from industry professionals.
Research and Innovation Focus: Students are encouraged to explore research opportunities and innovative projects, fostering critical thinking and creativity in tackling complex data challenges.
Strong Career Prospects: Graduates of the program are equipped with the skills needed for various roles in data analytics, artificial intelligence, and other data-driven sectors, ensuring strong employability in a rapidly growing field.
- 02 Years
Syllabus
- Introduction to Data Science
- Programming for Data Science (Python/R)
- Statistical Methods for Data Analysis
- Data Management and SQL
- Data Visualization Techniques
- Advanced Machine Learning
- Natural Language Processing
- Cloud Computing for Data Science
- Data Ethics and Privacy
- Project Work/Internship
- Machine Learning Fundamentals
- Big Data Technologies
- Data Mining and Predictive Analytics
- Research Methodology
- Elective Course (choose one)
- Capstone Project in Data Science
- Advanced Data Analytics
- Business Intelligence and Analytics
- Elective Course (choose one)
- Dissertation/Research Project
This semester structure is designed to provide a balanced mix of theoretical knowledge and practical skills, preparing students for a successful career in data science.
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