Online BCA In Data Science & Analytics

Online Manipal University

Eligibility

45% - 50%

Duration

3 Years

Program Fee

₹1,35,000

Learning Mode

Online

Accreditation

UGC - DEB & AICTE

EMI Options

Yes

Download Brochure

View Syllabus

Online BCA in Data Science & Analytics

Online BCA In Data Science & Analytics

Online Manipal University

Eligibility

45% - 50%

Duration

3 Years

Program Fee

₹1,35,000

Learning Mode

Online

Accreditation

UGC - DEB & AICTE

EMI Options

Yes

Download Brochure

View Syllabus

Online BCA in Data Science & Analytics

Online BCA In Data Science & Analytics

Online Manipal University

Eligibility

45% - 50%

Duration

3 Years

Program Fee

₹1,35,000

Learning Mode

Online

Accreditation

UGC - DEB & AICTE

EMI Options

Yes

Download Brochure

View Syllabus

Online BCA in Data Science & Analytics

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Manipal Online BCA in Data Science and Analytics

Manipal Online BCA in Data Science and Analytics is a 3-year online undergraduate degree for students who want to build a foundation in computer applications, programming, databases, Python, analytics, and data-driven decision-making. It is suitable for learners who want flexibility without losing the structure of a recognised degree.

Students comparing an online BCA course in India should look beyond only fees. The right decision depends on university recognition, syllabus depth, learning support, placement assistance, project exposure, and whether the programme matches your long-term career goal.

Manipal Online BCA in Data Science and Analytics: Quick Overview

Parameter

Details

University

Manipal University Jaipur through Online Manipal

Programme

Online BCA in Data Science and Analytics

Duration

3 years / 6 semesters

Mode

Online

Fee

Up to ₹1.35 lakh - ₹1.39 lakh

Eligibility

10+2 or 10+3 diploma, as per university rules

Best For

Students interested in IT, programming, data analytics and higher studies

Career Areas

Data analytics, BI, reporting, Python, database support and IT operations

What Is Manipal Online BCA in Data Science and Analytics?

Manipal Online BCA in Data Science and Analytics is an undergraduate computer applications programme with a special focus on data, analytics, and technology. It covers core BCA subjects such as programming, databases, operating systems, computer networks, web technologies, and software concepts, along with data-focused topics like statistics, Python, data visualization, data mining, and analytics tools.

This degree should be understood as a foundation programme, not a shortcut to becoming a senior data scientist. It can help students build the base needed for entry-level IT and analytics roles, but stronger outcomes usually depend on projects, internships, certifications, and higher studies such as MCA, MSc Data Science, or MBA Analytics.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Is Manipal Online BCA in Data Science and Analytics Valid?

Yes, Manipal Online BCA in Data Science and Analytics can be valid when it is offered by a recognised university under the approved online mode for the relevant academic session. Students should verify the university name, programme name, mode, and session before taking admission.

Online Manipal states that its online BCA is a UGC-entitled degree. However, students should still confirm the latest programme status through official recognition sources because online programme permissions can vary by academic year and course.

Source Note: Check the official Online Manipal programme page and the UGC-DEB HEI/programme list before admission. UGC public notices also advise students to confirm HEI recognition status for the selected ODL/online academic session.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Who Should Consider This Programme?

This programme is suitable for students who want a flexible technology degree but still want a structured academic path. It can work well for learners who are interested in data and IT, but are still at the foundation stage.

  • Class 12 students interested in computers, coding, dashboards and analytics

  • Students who want an online degree instead of daily campus attendance

  • Learners planning for MCA, MSc Data Science or MBA Analytics later

  • Working professionals who want to complete a bachelor’s degree online

  • Students who can build projects along with regular classes

  • Learners who want to explore entry-level IT and analytics roles

Who Should Avoid This Programme?

This is not the right choice for every student. Avoid choosing it only because data science sounds popular. The programme needs regular practice, basic maths comfort, and consistent project work.

  • Students expecting a high-paying data scientist job only from the degree

  • Learners who do not want to practise programming or analytics tools

  • Students looking for full offline campus exposure and lab access

  • Candidates who need strict classroom discipline every day

  • Learners who only want a short certificate instead of a 3-year degree

Manipal Online BCA in Data Science and Analytics

Manipal Online BCA in Data Science and Analytics is a 3-year online undergraduate degree for students who want to build a foundation in computer applications, programming, databases, Python, analytics, and data-driven decision-making. It is suitable for learners who want flexibility without losing the structure of a recognised degree.

Students comparing an online BCA course in India should look beyond only fees. The right decision depends on university recognition, syllabus depth, learning support, placement assistance, project exposure, and whether the programme matches your long-term career goal.

Manipal Online BCA in Data Science and Analytics: Quick Overview

Parameter

Details

University

Manipal University Jaipur through Online Manipal

Programme

Online BCA in Data Science and Analytics

Duration

3 years / 6 semesters

Mode

Online

Fee

Up to ₹1.35 lakh - ₹1.39 lakh

Eligibility

10+2 or 10+3 diploma, as per university rules

Best For

Students interested in IT, programming, data analytics and higher studies

Career Areas

Data analytics, BI, reporting, Python, database support and IT operations

Read More…

What Is Manipal Online BCA in Data Science and Analytics?

Manipal Online BCA in Data Science and Analytics is an undergraduate computer applications programme with a special focus on data, analytics, and technology. It covers core BCA subjects such as programming, databases, operating systems, computer networks, web technologies, and software concepts, along with data-focused topics like statistics, Python, data visualization, data mining, and analytics tools.

This degree should be understood as a foundation programme, not a shortcut to becoming a senior data scientist. It can help students build the base needed for entry-level IT and analytics roles, but stronger outcomes usually depend on projects, internships, certifications, and higher studies such as MCA, MSc Data Science, or MBA Analytics.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Is Manipal Online BCA in Data Science and Analytics Valid?

Yes, Manipal Online BCA in Data Science and Analytics can be valid when it is offered by a recognised university under the approved online mode for the relevant academic session. Students should verify the university name, programme name, mode, and session before taking admission.

Online Manipal states that its online BCA is a UGC-entitled degree. However, students should still confirm the latest programme status through official recognition sources because online programme permissions can vary by academic year and course.

Source Note: Check the official Online Manipal programme page and the UGC-DEB HEI/programme list before admission. UGC public notices also advise students to confirm HEI recognition status for the selected ODL/online academic session.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Who Should Consider This Programme?

This programme is suitable for students who want a flexible technology degree but still want a structured academic path. It can work well for learners who are interested in data and IT, but are still at the foundation stage.

  • Class 12 students interested in computers, coding, dashboards and analytics

  • Students who want an online degree instead of daily campus attendance

  • Learners planning for MCA, MSc Data Science or MBA Analytics later

  • Working professionals who want to complete a bachelor’s degree online

  • Students who can build projects along with regular classes

  • Learners who want to explore entry-level IT and analytics roles

Who Should Avoid This Programme?

This is not the right choice for every student. Avoid choosing it only because data science sounds popular. The programme needs regular practice, basic maths comfort, and consistent project work.

  • Students expecting a high-paying data scientist job only from the degree

  • Learners who do not want to practise programming or analytics tools

  • Students looking for full offline campus exposure and lab access

  • Candidates who need strict classroom discipline every day

  • Learners who only want a short certificate instead of a 3-year degree

Manipal Online BCA in Data Science and Analytics

Manipal Online BCA in Data Science and Analytics is a 3-year online undergraduate degree for students who want to build a foundation in computer applications, programming, databases, Python, analytics, and data-driven decision-making. It is suitable for learners who want flexibility without losing the structure of a recognised degree.

Students comparing an online BCA course in India should look beyond only fees. The right decision depends on university recognition, syllabus depth, learning support, placement assistance, project exposure, and whether the programme matches your long-term career goal.

Manipal Online BCA in Data Science and Analytics: Quick Overview

Parameter

Details

University

Manipal University Jaipur through Online Manipal

Programme

Online BCA in Data Science and Analytics

Duration

3 years / 6 semesters

Mode

Online

Fee

Up to ₹1.35 lakh - ₹1.39 lakh

Eligibility

10+2 or 10+3 diploma, as per university rules

Best For

Students interested in IT, programming, data analytics and higher studies

Career Areas

Data analytics, BI, reporting, Python, database support and IT operations

What Is Manipal Online BCA in Data Science and Analytics?

Manipal Online BCA in Data Science and Analytics is an undergraduate computer applications programme with a special focus on data, analytics, and technology. It covers core BCA subjects such as programming, databases, operating systems, computer networks, web technologies, and software concepts, along with data-focused topics like statistics, Python, data visualization, data mining, and analytics tools.

This degree should be understood as a foundation programme, not a shortcut to becoming a senior data scientist. It can help students build the base needed for entry-level IT and analytics roles, but stronger outcomes usually depend on projects, internships, certifications, and higher studies such as MCA, MSc Data Science, or MBA Analytics.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Is Manipal Online BCA in Data Science and Analytics Valid?

Yes, Manipal Online BCA in Data Science and Analytics can be valid when it is offered by a recognised university under the approved online mode for the relevant academic session. Students should verify the university name, programme name, mode, and session before taking admission.

Online Manipal states that its online BCA is a UGC-entitled degree. However, students should still confirm the latest programme status through official recognition sources because online programme permissions can vary by academic year and course.

Source Note: Check the official Online Manipal programme page and the UGC-DEB HEI/programme list before admission. UGC public notices also advise students to confirm HEI recognition status for the selected ODL/online academic session.

What Students Should Verify Before Applying?

Before applying, students should not depend only on advertisements, brochure claims, or counsellor statements. They should verify the core academic, financial, and career details themselves.

  • University name and programme name on the official recognition source

  • Online mode approval for the selected academic session

  • Exact fee, application fee, EMI terms and scholarship conditions

  • Whether the fee includes exams, LMS access, digital resources and career support

  • Eligibility for 10+2 or 10+3 diploma students

  • Syllabus depth in programming, statistics, Python, analytics and visualization

  • Learning support, live sessions, recorded classes and doubt-clearing options

  • Placement assistance details and whether any job claim is guaranteed or only supported

  • Refund rules, admission deadline and document requirements

Who Should Consider This Programme?

This programme is suitable for students who want a flexible technology degree but still want a structured academic path. It can work well for learners who are interested in data and IT, but are still at the foundation stage.

  • Class 12 students interested in computers, coding, dashboards and analytics

  • Students who want an online degree instead of daily campus attendance

  • Learners planning for MCA, MSc Data Science or MBA Analytics later

  • Working professionals who want to complete a bachelor’s degree online

  • Students who can build projects along with regular classes

  • Learners who want to explore entry-level IT and analytics roles

Who Should Avoid This Programme?

This is not the right choice for every student. Avoid choosing it only because data science sounds popular. The programme needs regular practice, basic maths comfort, and consistent project work.

  • Students expecting a high-paying data scientist job only from the degree

  • Learners who do not want to practise programming or analytics tools

  • Students looking for full offline campus exposure and lab access

  • Candidates who need strict classroom discipline every day

  • Learners who only want a short certificate instead of a 3-year degree

Benefits Of Specialization

  • A degree from a well known university adds credibility to your resume and supports long term career growth.

  • Placement assistance helps simplify the job search and improves chances of finding opportunities sooner.

  • Career options include roles like web developer, system administrator, game developer, and related technical positions.

  • Financial support from the university helps reduce the burden of course fees.

  • For working professionals, continued learning can support salary growth and role progression.

  • The university is recognized by NIRF, AICTE, and WES, with an A plus NAAC accreditation for quality education.

  • An online BCA in Data Science and Analytics helps build technical knowledge along with leadership skills.

Benefits Of Specialization

  • A degree from a well known university adds credibility to your resume and supports long term career growth.

  • Placement assistance helps simplify the job search and improves chances of finding opportunities sooner.

  • Career options include roles like web developer, system administrator, game developer, and related technical positions.

  • Financial support from the university helps reduce the burden of course fees.

  • For working professionals, continued learning can support salary growth and role progression.

  • The university is recognized by NIRF, AICTE, and WES, with an A plus NAAC accreditation for quality education.

  • An online BCA in Data Science and Analytics helps build technical knowledge along with leadership skills.

Flexible Learning Format

Career Growth

Wider career fit

Strong base of management

Role Transitions

Accreditation Of Manipal University Online

Eligibility Criteria For Admission In BCA In Data Science And Analytics

To apply for an online BCA in Data Science and Analytics, you need to meet the basic eligibility requirements set by the university.

Eligibility Factor

Requirement

Education

10+2 from a recognised national or state board

Diploma Route

10+3 diploma from a recognised institute

Minimum Marks

40% to 45%

Entrance Exam

Usually not required

Best Background

Maths, computer science, commerce with IT, science or any tech interest

International Students

May need equivalence and additional documents

Fee For Online BCA In Data Science And Analytics

The total fee for Online BCA In Data Science And Analytics program from Manipal University Online is ₹ 1,35,000, with EMI options starting from approximately ₹3,750 per month.

Particulars

Details

Duration

36 Months

Total Program Fee

₹1,35,000

Monthly EMI Fee

₹3,750/Month

What is included in the programme fee?

Fee Component

What Students Should Check

Tuition Fee

Core academic fee for the programme

LMS Access

Live classes, recorded sessions, assignments and study material

Exams

Whether exam fee is included or charged separately

Digital Resources

E-books, quizzes, case material and learning tools

Coursera/Certification Access

Whether included, limited or separately charged

Career Support

Resume, interview, placement assistance and job-readiness support

EMI

Monthly amount, tenure, processing fee and interest/no-cost terms

Manipal Online BCA in Data Science And Analytics Admission Process

In online Manipal University, the admission process takes place in online mode. Fresh admission starts in January of every year. There are direct admissions, no entrance exam is conducted for the admission process. The admission procedure for the online courses at Online Manipal University is as follows:

  1. Application: Fill in your basic, education & work experience-related details and pay the application fee to register.

  1. Fee Payment: Pay the admission fee for the first semester/year or full program.

  1. Document Upload: Upload supporting documents & submit your application.

  1. University Approval: The university will evaluate your documents to confirm your admission.

Syllabus For Manipal Online BCA in Data Science and Analytics

Semester - 1

Fundamentals of Mathematics

Technical Communication

C Programming

Fundamentals of Computers & Digital Systems

Introduction to Web Programming

Environmental Science

C Programming Lab

Web Programming Lab

Semester - 3

Computer Organization and Architecture

Java Programming

Data Communication & Protocols

Operating Systems

Artificial Intelligence for Problem Solving

Java Programming Lab

Operating System Lab

Semester - 5

Mobile Application Development

Machine Learning

Cloud Computing & Applications

Machine Learning Lab

Aptitude and Technical Development

Electives/Specializations subjects - Cloud Computing and Cybersecurity

Distributed Systems

Semester - 2

Basic Statistics and Probability

Data Structures

Database Management System

Principle of Programming Languages

Object-Oriented Programming using C++

Database Management System Lab

Data Structures using C++ Lab

Data Structures using C++ Lab

Semester - 4

Python Programming

Software Engineering

Data Mining & Visualization

Introduction to Network Security

Python Programming Lab

Data Mining and Visualization Lab

Semester - 6

Wireless Communication

Unix and Shell Programming

Big Data

Unix and Shell Programming Lab

Project

Electives/Specializations subjects - Cloud Computing and Cybersecurity

Cloud Storage & Data Management

Semester - 1

Fundamentals of Mathematics

Technical Communication

C Programming

Fundamentals of Computers & Digital Systems

Introduction to Web Programming

Environmental Science

C Programming Lab

Web Programming Lab

Semester - 2

Basic Statistics and Probability

Data Structures

Database Management System

Principle of Programming Languages

Object-Oriented Programming using C++

Database Management System Lab

Data Structures using C++ Lab

Data Structures using C++ Lab

Semester - 3

Computer Organization and Architecture

Java Programming

Data Communication & Protocols

Operating Systems

Artificial Intelligence for Problem Solving

Java Programming Lab

Operating System Lab

Semester - 4

Python Programming

Software Engineering

Data Mining & Visualization

Introduction to Network Security

Python Programming Lab

Data Mining and Visualization Lab

Semester - 5

Mobile Application Development

Machine Learning

Cloud Computing & Applications

Machine Learning Lab

Aptitude and Technical Development

Electives/Specializations subjects - Cloud Computing and Cybersecurity

Distributed Systems

Semester - 6

Wireless Communication

Unix and Shell Programming

Big Data

Unix and Shell Programming Lab

Project

Electives/Specializations subjects - Cloud Computing and Cybersecurity

Cloud Storage & Data Management

Skills You Learn in This Programme

Technical Skills: Students build basics in programming, databases, operating systems, web technologies, computer networks, Python and data handling.

Data and Analytics Skills: The programme can help students understand statistics, data visualization, data mining, machine learning basics, dashboards and reporting logic.

Career Skills: Students also need communication, documentation, problem-solving, presentation and project skills to convert the degree into job opportunities.

Sprint Source Fact: The World Economic Forum Future of Jobs report says technology skills such as AI, big data, networks and cybersecurity are expected to grow quickly, while analytical thinking, resilience, leadership and collaboration remain important. 

This supports the value of combining technical learning with practical and human skills.

What This BCA Can and Cannot Prepare You For?

It Can Help You Build

It May Not Be Enough Alone For

Programming foundation

Senior data scientist roles

Data handling and reporting basics

Advanced ML engineering

Entry-level IT and analytics awareness

Research-level AI or data science roles

MCA, MSc or MBA analytics pathway

High-end data engineering without extra tools

Project and portfolio base

Specialist roles without internships or certifications

Career Scope After Manipal Online BCA in Data Science and Analytics

The programme can support entry-level careers in IT, analytics, reporting, business intelligence, database support and web development. However, career outcomes depend on practical skills, tools, project portfolio, internship exposure, communication and interview preparation.

Students can also explore detailed online BCA career options to understand role-wise skills, salaries and long-term growth paths after graduation.

Job Roles

Avg. Salary in India (LPA)

Web Developer

₹3 LPA – ₹8 LPA

Software Developer

₹3.5 LPA – ₹10 LPA

System Administrator

₹3 LPA – ₹9 LPA

Mobile App Developer

₹4 LPA – ₹12 LPA

Game Developer

₹4.5 LPA – ₹15 LPA

Network Administrator

₹3.5 LPA – ₹9 LPA

Quality Assurance Analyst

₹3.5 LPA – ₹10 LPA

Technical Writer

₹3 LPA – ₹8 LPA

Technical Support Engineer

₹3 LPA – ₹9 LPA

System Analyst

₹4 LPA – ₹12 LPA

Note: Salary figures are indicative and may vary based on skills, experience, location, company, projects, and interview performance. The salary ranges mentioned above are based on publicly available salary data from Glassdoor.

Hiring Partners With Manipal Online University

Is Manipal Online BCA in Data Science and Analytics Worth It?

Yes, it can be worth it for students who want a recognised online BCA with a data-focused curriculum, flexible learning and career support. It is most useful when students build projects, learn tools and prepare for entry-level roles or higher studies along with the degree.

Students should choose this programme if they want a flexible route into IT and analytics. But they should not treat the degree as the only requirement for a data science career. Practical work, consistency and portfolio building matter just as much.

Conclusion

Manipal Online BCA in Data Science and Analytics is a steady option for learners who want to build skills without rushing decisions. It offers structured learning, flexibility, and exposure that supports real career planning. The program fits well for students after 12th and for those balancing other responsibilities. If you want clarity before applying, EazyGrad is here to help you understand the course, process and helps you in making informed decisions.

FAQs

Is Manipal Online BCA in Data Science and Analytics valid?

Yes, it can be valid when offered by a recognised university under online mode for the relevant academic session. Students should verify programme approval on official recognition sources before applying.

Who is eligible for Manipal Online BCA in Data Science and Analytics?

What is the fee for Manipal Online BCA in Data Science and Analytics?

Is Manipal Online BCA good for data science careers?

Can commerce students apply for Online BCA in Data Science and Analytics?

What jobs can I get after Online BCA in Data Science and Analytics?

Still confused about the right university?

Still confused about the right university?

Talk to our expert counsellor and get a recommendation based on your course, budget, career goal, eligibility, and admission timeline.

Talk to our expert counsellor and get a recommendation based on your course, budget, career goal, eligibility, and admission timeline.

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