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B.Com (General) B.Com (Computer Application) BCA BBA BBA (Business Analytics) B.Sc (M.S.Cs) B.Sc (M.S.Ds) B.Sc (M.P.Cs) B.Sc (M.C.Bt) B.Sc (M.C.CN&D) B.Sc (M.C.AN&PH)

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Course

B.Sc (M.S.Ds)

(Mathematics, Statistics & Data Science)

Category: Sciences      |     Duration: 6 Semesters

The Bachelor of Science in Mathematics, Statistics, and Data Science provides a solid theoretical foundation in mathematics and statistics, essential for data science applications. Data science is a rapidly growing field with applications in Big Data Analysis, Data Visualization, Machine Learning, Statistical Analysis, and Data Mining across industries such as finance, healthcare, and technology.

Upon successful completion, graduates can pursue careers as Data Scientists or Data Analysts with leading MNCs and organizations specializing in big data and analytics.

Beyond Academics

We foster leadership, confidence, and real-world skills through complete learning.

Legacy of Excellence

Over 10,000 graduates thriving in diverse fields reflect our commitment to quality education.

Overview of B.Sc (M.S.Ds) Bachelor of Science in Mathematics, Statistics & Data Science:

Course Level Graduate
Awarding Body Osmania University
Duration 3 Years
Examination Type Semester System
Eligibility Pass in 12th class from CBSE / ICSE Stream or Intermediate, HSC Candidate who passed any Diploma course through Polytechnic of Telangana State.

A candidate who have passed any other exam which is considered equivalent by the Board of Intermediate Education – Hyderabad
Examination All evaluations are conducted as per the norm of Osmania University. These are two components of evaluations:
Internal: 20 Marks
External: 80 Marks
There will be 2 internal examinations during the semester as per the schedule of Osmania University. At the end of each semester, final external examination will be conducted by Osmania University

B.Sc (M.S.Ds) Bachelor of Science in Mathematics, Statistics & Data Science – Semester-wise Subjects & Credits

Semester I

S.NoSubjectCredits
1English4
2Second Language4
3a) Environmental Science (AECC1)
b) Basic Computer Skills (AECC1)		2
4Differential and Integral Calculus5
5Descriptive Statistics And Probability5
6Fundamentals of Information Technology5

Semester II

S.NoSubjectCredits
1English4
2Second Language4
3a) Environmental Science (AECC2)
b) Basic Computer Skills (AECC2)		2
4Differential Equations5
5Probability Distributions5
6Problem Solving And Python Programming5

Semester III

S.NoSubjectCredits
1English3
2Second Language3
3Communication Skills (or) Professional Skills (Sec I)3
4a) Theory Of Equations (or) Logic And Sets (or) Python I (or) Data Collection, Presentation, Interpretation (or) Mini Project (Sec II)2
5Real Analysis5
6Statistical Methods And Estimation5
7Data Structures Using C++5

Semester IV

S.NoSubjectCredits
1English3
2Second Language3
3a) Leadership And Management Skills (or) Universal Human Values (Sec III)2
4a) Number Theory (or) Vector Calculus (or) Python II (or) Data Scaling Techniques And Report Writing, Mini Project (Sec IV)2
5Algebra5
6Statistical Inference5
7Machine Learning5

Semester V

S.NoSubjectCredits
1English3
2Second Language3
3Generic Elective (GE)4
4Linear Algebra5
5Applied Statistics I (or) Analytical Statistics I5
6Natural Language Processing (or) No SQL Databases5

Semester VI

S.NoSubjectCredits
1English3
2Second Language3
3Major Project4
4a) Numerical Analysis (or) Integral Transforms (or) Analytical Solid Geometry5
5Applied Statistics II (or) Analytical Statistics II5
6Big Data (or) Deep Learning5
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B.Sc [MECs], 2019-2021

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Student

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Student

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