Overview of IGNOU Online/ Distance BCA in Data Analytics

IGNOU Online & Distance BCA Data Analytics course is a globally recognised degree that offers equally valuable knowledge and skills in the field, affiliated and accredited by UGC and DEB for its high-quality education and teaching structure. It is a flexible education approach supported by an industry-oriented curriculum that supports continuous education among working professionals and remote learners by offering 24/7 accessibility to self-paced study materials, online learning platforms, student support services and proctored examinations. 

Why Pursue an Online/Distance BCA Course at IGNOU in Data Analytics?

The IGNOU Online and Distance BCA Data Analytics course should be pursued by individuals because it is a flexible education program suitable for all types of students available in an affordable fee structure and provides a globally recognised degree due to its affiliation and accreditation with UGC, DEB and NAAC. 

Who Should Pursue an Online and Distance BCA Course from IGNOU in Data Analytics?

IGNOU Online ad Distance BCA Data Analytics can be pursued by individuals seeking a promising career commencement opportunity in the field of information technology after completing their 10 + 2 education. This program is also suitable for individuals seeking a flexible, convenient and equally credible education program due to their personal or professional commitments.

Eligibility Criteria for IGNOU Online/Distance BCA in Data Analytics

The eligibility criteria of the IGNOU BCA Data Analytics course delivered through Online or Distance mode of education require completing a 10 + 2 or equivalent education from a recognised board in India. Candidates should have passed 10+2 from a recognized board and should have studied mathematics as the main subject (preferably, but not mandatory).

Online/Distance BCA Admission Process at IGNOU for Data Analytics

The admission process of the IGNOU Online and Distance BCA Data Analytics program includes an online registration process available through the official website of the University. Students need to visit the student portal of IGNOU, register themselves by creating an account, access the BCA application form, fill the application form with personal and academic details, choose the specialisation, pay the registration fee, wait for confirmation, and pay the program fee to start learning. 

Career Opportunities After Completing the Online/Distance BCA in Data Analytics from IGNOU 

After completing an Online and Distance BCA Course in Data Analytics from IGNOU graduates develop relevant skills such as interpreting data, helping businesses in making strategic decisions, developing advanced data models, building applications by using programming languages and web technologies, etc. that allow them to pursue job roles like data analyst, data scientist, software developer, business intelligence analyst, big data engineer, web developer, cloud computing specialist or architect, database administrator and cyber Security analyst.

Online & Distance BCA with IGNOU Accreditation

IGNOU Online and Distance BCA in Data Analytics is a fully accredited and globally recognised degree affiliated with University Grants Commission (UGC), AICTE (All India Council for Technical Education), Distant Education Board (DEB) and NAAC, ensuring acceptability and credibility across National and international employers.

UCG Entitled

Recognized by the University Grants Commission

Grade NAAC A++ Accredited

Accredited by the National Assessment and Accreditation Council

AICTE Approved

Approved by the All India Council for Technical Education

MHRD Approved

Ministry of Human Resource Development

WES Accredited

World Education System

AIU Approved

Recognized by the Association of Indian Universities

Course Structure of IGNOU Online/Distance BCA in Data Analytics

The course structure of Online and Distance BCA in Data Analytics IGNOU includes 6 semesters to be completed within 3 years of the program. The first & second semesters of the program are focused on foundational subjects of computer science, the second & third semesters are focused on Core IT subjects and 5th & 6th semesters are focused on selected specialisation and project work.

IGNOU Learning Methodology

IGNOU utilises a flexible and learner-centric methodology to deliver the Online and Distance BCA course in Data Analytics that allows remote learners to access e-Learning materials, assignments, projects and counselling sessions conveniently.

E-books Study
Material

Live Interactive
Sessions

Project &
Assignment

Learning
Managment

Top Studies
Center

Worldwide
Reach

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Fee Structure of the IGNOU Online/Distance BCA Course in Data Analytics

IGNOU learning methodology is a combination of flexibility, accuracy and credibility delivered through a UGC and NAAC certified open distance approach of education for easy and wider accessibility to convenient education.

Registration Fee 300/- One Time
Course Fee 51100/- Full Fee
Semester Fee 8300/- Per Semester
Examination Fee 200- Per Subject

FAQ's of Online & Distance BCA in Data Analytics Course from IGNOU

IGNOU offers a general Online and Distance BCA Course in India that provides foundational knowledge of programming languages, databases, web technologies and computing, ensuring a strong base in Data Analytics to pursue several IT roles. 

The core and specialised subjects covered throughout the Online BCA in Data Analytics are programming languages, data management, statistical analysis, machine learning, data visualisation, business intelligence, etc. 

An online BCA in Data Analytics boosts career growth opportunities for graduates by providing them with in-demand knowledge and skills and preparing them to pursue versatile roles. 

Yes, you can study an online BCA in Data Analytics while working because it is a flexible education program specially designed for working professionals to study and work simultaneously. 

After completing an online BCA in Data Analytics, individuals can pursue job roles like software developer, data analyst, data engineer, business intelligence analyst, data scientist, machine learning engineer, etc.

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