2 Years
Post Graduate
Science
The Master of Science (M.Sc.) Data Analytics syllabus at Baselius College, Kottayam is designed to provide overall knowledge to the students with a strong foundation. Master of Science (M.Sc.) Data Analytics faculty at Baselius College specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Science (M.Sc.) Data Analytics at Baselius College, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Science (M.Sc.) Data Analytics syllabus at Baselius College, Kottayam maintains a balance between theoretical knowledge and practical knowledge.
Master of Science (M.Sc.) Data Analytics first year students at Baselius College are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Baselius College, Kottayam also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Science (M.Sc.) Data Analytics syllabus at Baselius College, Kottayam is also frequently updated to give industry relevant training and knowledge to students. Baselius College strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Baselius College enable Master of Science (M.Sc.) Data Analytics students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Master of Science (M.Sc.) Data Analytics progress, students learn advanced topics and complex concepts. The Master of Science (M.Sc.) Data Analytics curriculum at Baselius College, Kottayam mainly focuses on analytical and critical thinking. As the Master of Science (M.Sc.) Data Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Science (M.Sc.) Data Analytics at Baselius College also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Master of Science (M.Sc.) Data Analytics curriculum at Baselius College includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Science (M.Sc.) Data Analytics syllabus at Baselius College aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at Baselius College
Note: Given below syllabus is based on the available web sources. Please verify with the Baselius College, Kottayam for latest Master of Science (M.Sc.) Data Analytics curriculum.
The Master of Science (M.Sc.) in Data Analytics program offers an intensive and comprehensive curriculum focused on the principles and practices of data analysis and interpretation. The course syllabus typically spans two academic years, encompassing a diverse range of subjects. Foundational courses introduce students to key concepts in Data Science, Statistics, and Data Visualization, providing a solid theoretical and practical foundation in data analysis. Students delve into areas such as Machine Learning and Predictive Analytics, where they learn about algorithms, model building, and data-driven decision-making. Advanced coursework may include topics such as Big Data Technologies, where students explore tools and technologies for managing and analyzing large datasets. Moreover, students typically engage in hands-on experiences through projects and case studies, where they apply their knowledge to real-world data sets and business scenarios. Many programs also include a research component, allowing students to delve into specialized areas of data analytics and contribute to the evolving field. Overall, the M.Sc. in Data Analytics program equips students with the expertise needed for careers in data analysis, business intelligence, data-driven decision-making, and various industries where harnessing data for insights and strategic planning is essential.
1st Year OR 1st & 2nd Semester Syllabus of Master of Science (M.Sc.) Data Analytics
| S.no | Subjects |
| 1 | Foundations of Data Science |
| 2 | Statistical Methods |
| 3 | Mathematics for Machine Learning |
| 4 | Probability Theory and Distributions |
| 5 | Numerical Methods with Programming |
| 6 | Regression Analysis and Predictive Models |
| 7 | Statistical Data Preparation & Analytics |
| 8 | Advanced Big Data and Text Analytics |
| 9 | Data Mining & Artificial Intelligence |
2nd Year OR 3rd & 4th Semester Syllabus of Master of Science (M.Sc.) Data Analytics
| S.No | Subjects |
| 1 | Inferential Statistics |
| 2 | Multivariate Data Analysis |
| 3 | Soft Computing Techniques |
| 4 | Exploratory Data Analysis and Visualization |
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