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

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FeatureLimited seats available!
Clock IconApplication Closing soon for Jan 2026 Batch
Percent IconEMI Starts From: 2283/-
Desktop IconLive Class:Online
Dollar IconAverage Salary:8.0LPA

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.

Course Highlights

  • 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

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STEM Foundations Build a rigorous base for IT, analytics and higher studies.

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Practical Coding Implement algorithms and database queries hands‑on.

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Analytics Readiness Use statistical thinking for business/science decisions.

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Guided Pathways Counselling for careers and postgraduate options.

CourseConnect Benefits

What additional you get from CourseConnect

  • benefitMock Interview
  • benefitResume Building
  • benefitAlumni Network
  • benefitCareer Guidance

Need to consult an Expert?

Have queries or need guidance? Our experts can help you decide.

Eligibility

  • »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.
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Course Syllabus

S.NoCreditSubject
1KUBSC101English Language
2KUBSC102Mathematics I (Calculus)
3KUBSC103Statistics I (Descriptive)
4KUBSC104Programming in C
5KUBSC105Environmental Studies
S.NoCreditSubject
1KUBSC201Mathematics II (Algebra)
2KUBSC202Statistics II (Probability)
3KUBSC203Data Structures
4KUBSC204Digital Logic
5KUBSC205Communication Skills
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ProfessionalProfiles

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Data Operations Analyst

AVG SALARY4.8 LPA
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Junior Software Developer

AVG SALARY5.0 LPA
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QA/Test Engineer

AVG SALARY4.5 LPA
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MIS/Reporting Analyst

AVG SALARY4.6 LPA
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Academic Tutor (STEM)

AVG SALARY3.6 LPA

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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.

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