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Centre of Excellence in Sports Science & Sports Management
In collaboration with TransStadia Institute

  • Admissions
    • B.SC. in Artificial Intelligence & Sports Analytics
    • B.Sc. in Sports Administration
    • B.SC. in Data Science & Sports Studies
  • Academics
    • Faculties
    • Grading System
    • Library
    • Attendance Rule
  • About Us
    • Centre of Excellence
    • IBM Collaboration
    • Our Teams
  • News & Highlights
  • Gallery
  • Admissions
    • B.SC. in Artificial Intelligence & Sports Analytics
    • B.Sc. in Sports Administration
    • B.SC. in Data Science & Sports Studies
  • Academics
    • Faculties
    • Grading System
    • Library
    • Attendance Rule
  • About Us
    • Centre of Excellence
    • IBM Collaboration
    • Our Teams
  • News & Highlights
  • Gallery
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Grading System

The institute follows a 10-point grading system based on combined internal and semester-end performance. Grades are awarded according to marks secured, ranging from O for highest performance to F for failure. Marks, grade points, and letter grades are mapped to ensure transparent and consistent evaluation. SGPA and CGPA are calculated using credit-weighted grade points across courses and semesters. A minimum of 50% overall is required to pass, with carry-forward rules for internal or external components.

CALCULATION OF CREDITS

The following basis is adopted for calculation of credits for a course. 1 semester = 15 weeks 1 credit = 1 hour of lecture per week i.e. 15 lecture hours. Thus, a 2 credit course will be of 30 lecture hours, a 3 credit course of 45 hours and a 4 credit course of 60 hours.

A course will consist of lectures, tutorials, laboratory work, practicals, seminars, field work, project work, and internship. The combination may vary from course to course.

PASSING STANDARD AND PERFORMANCE GRADING

The Performance Grading of the learner shall be on a 10-point scale and be adopted uniformly for all courses..

Marks Grade Point Letter Grade
75-1007.5-10.0O
65-746.5-7.49A
60-646.0-6.49B
55-595.5-5.99C
50-545.0-5.49D
0-490.0-4.99F
The performance grading shall be based on the aggregate performance of Internal Assessment and Semester End Examination.

The Semester Grade Point Average (SGPA) will be calculated in the following manner SGPA = CG / C for a semester, where C is Credit Point and G is Grade Point for the Course/ Subject.

The Cumulative Grade Point Average (CGPA) will be calculated in the following manner CGPA = CG / C for all semesters taken together.

PASSING STANDARD AND PERFORMANCE GRADING

Passing 50% in each subject /Course combined Progressive Evaluation (PE)/Internal Evaluation and Semester-End/Final Evaluation(FE) examination taken together. i.e.(Internal plus External Examination).

Carry forward of marks in case of learner who fails in the Internal Assessment and/ or Semester-end examination in one or more subjects (whichever component the learner has failed although passing is on total marks).

1) A learner who PASSES in the Internal Examination but FAILS in the Semester-end Examination of the Course shall reappear for the Semester-End Examination of that Course. However his/her marks of the internal examinations shall be carried over and he/she shall be entitled for grade obtained by him/her on passing.

2) A learner who PASSES in the Semester-end Examination but FAILS in the Internal Assessment of the course shall reappear for the Internal Examination of that Course. However his/her marks of the Semester-End Examination shall be carried over and he/she shall be entitled for grade obtained by him/her on passing.

3) A learner who fails in the practical component or job training will be required to repeat that component and pass in the examination conducted separately for that component.

THE SCHEME OF EXAMINATION:

The Scheme of Examination shall be divided into two components: Internal assessment and External assessment (semester end examination) for each course of the program. Internal Assessment includes Assignments, Seminars, Case Studies, Quizzes, Viva, Open book test, Unit Tests etc. For each course, there is a passing minimum for Internal Assessment as 40% (16 out of 40 marks), for External / Semester End Examination 40% (24 out of 60 marks) and overall 40% (40 out of 100 marks). The performance of the learner will be evaluated in each course in the following manner Internal assessment Semester end examination Total (for each course or head of passing) 40 % (16 out of 40 marks), for External / Semester End Examination 40% (24 out of 60 marks) and overall 40% (40 out of 100 marks)

The performance of the learner will be evaluated in each course in the following manner

Course Assessment Breakdown
Internal Assessment Semester End Examination Total (for each course or head of passing)
40% 60% 100%

The internal assessment of 40 % for each course will be as follows:

1. Mid Semester Examination – 20 Marks
2. Quiz/Class discussion/Project/Seminar/Case Study/Presentation – 20 Marks.

The semester end examination (external component) of 60% for each course will be as follows:

Duration: 2 Hours

Paper Pattern:

  • One question of 20 Marks is compulsory.
  • Any four to be attempted from remaining six questions of 10 Marks each.
  • Question No. 7 will have three options of five marks each. Students have to select any two out of the three.
Venue
Academics
HPC
H & F
Get in touch
Language Bhavan, opp. New Examination House, University of Mumbai, Vidya Nagari, Kalina, Santacruz (E), Mumbai, Maharashtra 400098, India
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  • Admissions
    • B.SC. in Artificial Intelligence & Sports Analytics
    • B.Sc. in Sports Administration
    • B.SC. in Data Science & Sports Studies
  • Academics
    • Faculties
    • Grading System
    • Library
    • Attendance Rule
  • About Us
    • Centre of Excellence
    • IBM Collaboration
    • Our Teams
  • News & Highlights
  • Gallery
  • Admissions
    • B.SC. in Artificial Intelligence & Sports Analytics
    • B.Sc. in Sports Administration
    • B.SC. in Data Science & Sports Studies
  • Academics
    • Faculties
    • Grading System
    • Library
    • Attendance Rule
  • About Us
    • Centre of Excellence
    • IBM Collaboration
    • Our Teams
  • News & Highlights
  • Gallery