

kakatiya Online B.Sc. in (M.St.Cs.)




Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹8.0LPA





Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹8.0LPAKakatiya University’s Online B.Sc. (Mathematics, Statistics, Computer Science) is a 3-year programme crafted for students who want quantitative and computing foundations for analytics and IT roles. The curriculum blends foundational disciplines with focussed modules in calculus, linear algebra, probability, statistical inference, programming, data structures, DBMS and data analytics. As a UGC-DEB compliant offering from the Centre for Distance and Online Education (CDOE), it enables flexible learning through live interactions, recordings and self-paced study—ideal for working professionals and freshers. Assignments, term-end exams and projects emphasise applied, industry-linked outcomes without compromising academic rigour. Graduates can pursue roles across IT services, analytics support, QA/testing, junior developer and data operations.
Strong Quant Base: Master calculus, algebra and probability foundations
Programming Skills: Learn structured programming and data structures
Statistics & Inference: Apply sampling, estimation and testing
DBMS & SQL: Model data and write queries efficiently
Data Analytics: Use spreadsheets and Python for analysis
Computing Labs: Hands‑on lab work and mini projects
Interdisciplinary Edge: Combine maths, stats and CS for employability
Flexible Delivery: LMS content, recordings and support sessions
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Intermediate (10+2) or equivalent qualification recognised by Kakatiya University
Open to freshers and working professionals from any stream
Admission based on merit/verification; Mathematics at 10+2 recommended for B.Sc.



Total 2 semester
INR 13,400 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 26,800
*Inclusive of all taxes
EMI starting at
INR 744 / Month
*Terms & Conditions apply
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| S.No | Credit | Subject |
|---|---|---|
| 1 | KUBSC101 | English Language |
| 2 | KUBSC102 | Mathematics I (Calculus) |
| 3 | KUBSC103 | Statistics I (Descriptive) |
| 4 | KUBSC104 | Programming in C |
| 5 | KUBSC105 | Environmental Studies |
| S.No | Credit | Subject |
|---|---|---|
| 1 | KUBSC201 | Mathematics II (Algebra) |
| 2 | KUBSC202 | Statistics II (Probability) |
| 3 | KUBSC203 | Data Structures |
| 4 | KUBSC204 | Digital Logic |
| 5 | KUBSC205 | Communication Skills |

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