kakatiya Online B.Sc. in (M.St.Cs.)
Course Overview
Kakatiya 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.
Accreditations
NAAC A+
DEB
NIRF
AIU
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- 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
Course Benefits
STEM Foundations
Build a rigorous base for IT, analytics and higher studies.
Practical Coding
Implement algorithms and database queries hands‑on.
Analytics Readiness
Use statistical thinking for business/science decisions.
Guided Pathways
Counselling for careers and postgraduate options.
Course Fees
The fee structure for this kakatiya Online B.Sc. in (M.St.Cs.) is designed to be affordable and flexible for both freshers and working professionals
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
Eligibility
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Intermediate (10+2) or equivalent qualification recognised by Kakatiya University
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Open to freshers and working professionals from any stream
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Admission based on merit/verification; Mathematics at 10+2 recommended for B.Sc.
Course Syllabus
Semester 1
KUBSC101
English Language
KUBSC102
Mathematics I (Calculus)
KUBSC103
Statistics I (Descriptive)
KUBSC104
Programming in C
KUBSC105
Environmental Studies
Semester 2
KUBSC201
Mathematics II (Algebra)
KUBSC202
Statistics II (Probability)
KUBSC203
Data Structures
KUBSC204
Digital Logic
KUBSC205
Communication Skills
Semester 3
KUBSC301
Mathematics III (Differential Equations)
KUBSC302
Statistics III (Sampling & Estimation)
KUBSC303
Object Oriented Programming
KUBSC304
DBMS & SQL
KUBSC305
Operating Systems
Semester 4
KUBSC401
Mathematics IV (Linear Algebra)
KUBSC402
Statistics IV (Inference & Testing)
KUBSC403
Design & Analysis of Algorithms
KUBSC404
Computer Networks
KUBSC405
Research Methods
Semester 5
KUBSC501
Numerical Methods
KUBSC502
Applied Statistics & R
KUBSC503
Python for Data Analysis
KUBSC504
Minor Project/Lab
KUBSC505
Open Elective
Semester 6
KUBSC601
Optimisation Techniques
KUBSC602
Machine Learning Basics
KUBSC603
Web Technologies
KUBSC604
Major Project
KUBSC605
Ethics & Professional Practice
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from Kakatiya University
FAQs
Do I need maths at 10+2?
Strongly recommended; it improves readiness for quant courses.
Are labs compulsory at Kakatiya University?
Yes, labs and project work are an integral part of the curriculum at Kakatiya University, and schedules for these sessions are notified by the respective study centres.
Is coding beginner-friendly at Kakatiya University?
Yes, Kakatiya University designs its courses to start with fundamental coding concepts and gradually progress to advanced topics, making them suitable for beginners.
What careers can I pursue after BCA from Kakatiya University?
After completing BCA from Kakatiya University, you can pursue careers as a Junior Developer, Quality Assurance (QA) Analyst, MIS Analyst, Data Operations Executive, or IT Tutor.
Is the programme recognised?
Yes, under KU’s CDOE as per UGC‑DEB norms.
Are there electives at Kakatiya University?
Yes, Kakatiya University offers elective subjects in the higher semesters as per the programme scheme and academic regulations.
How are exams held?
Internal assessments plus term‑end exams by KU.
Is there placement help?
Guidance and mentoring are available via centres.
Can I go for MSc?
Yes, strong base for PG in Maths/Stats/CS.
Is programming language fixed?
Typically C, Java and Python are covered; check scheme.