Post Graduate Program in Data Science Syllabus - Kingston School of Management and Science, Kolkata

The Post Graduate Programmme in Data Science syllabus at Kingston School of Management and Science, Kolkata is designed to provide overall knowledge to the students with a strong foundation. Post Graduate Programmme in Data Science faculty at Kingston School of Management and Science specially focus on in-depth learning to relevant subjects. At first semester syllabus of Post Graduate Programmme in Data Science at Kingston School of Management and Science, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Post Graduate Programmme in Data Science syllabus at Kingston School of Management and Science, Kolkata maintains a balance between theoretical knowledge and practical knowledge.

Post Graduate Programmme in Data Science first year students at Kingston School of Management and Science are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Kingston School of Management and Science, Kolkata also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Post Graduate Programmme in Data Science syllabus at Kingston School of Management and Science, Kolkata is also frequently updated to give industry relevant training and knowledge to students. Kingston School of Management and Science strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Kingston School of Management and Science enable Post Graduate Programmme in Data Science students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Post Graduate Programmme in Data Science progress, students learn advanced topics and complex concepts. The Post Graduate Programmme in Data Science curriculum at Kingston School of Management and Science, Kolkata mainly focuses on analytical and critical thinking. As the Post Graduate Programmme in Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Post Graduate Programmme in Data Science at Kingston School of Management and Science also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Post Graduate Programmme in Data Science curriculum at Kingston School of Management and Science includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Post Graduate Programmme in Data Science syllabus at Kingston School of Management and Science aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Kingston School of Management and Science

1. Workshops and Seminars - Regular sessions with industry experts help Post Graduate Programmme in Data Science students at Kingston School of Management and Science to stay updated with current trends.
2. Group Projects - Collaborative projects according to Kingston School of Management and Science syllabus develop teamwork and problem-solving skills.
3. Case Studies - Post Graduate Programmme in Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
4. Extracurricular Activities - Kingston School of Management and Science offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Kingston School of Management and Science, Kolkata for latest Post Graduate Programmme in Data Science curriculum.

Syllabus: PGP in Data Science 

A Post Graduate Program in Data Science typically covers a comprehensive syllabus that includes core topics such as statistics, machine learning, data visualization, and data management. The curriculum also delves into advanced subjects like deep learning, natural language processing, and big data technologies. Additionally, students learn to apply these concepts to real-world problems through hands-on projects and case studies. Ethical considerations, data ethics, and domain-specific applications are often integrated into the syllabus. Soft skills like communication, teamwork, and problem-solving are emphasized. Overall, the program equips students with the knowledge and skills needed to excel in the dynamic and data-driven field of data science.