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Online MCA in Data Science

An Online MCA (Master of Computer Applications) in Data Science is an all-encompassing and advanced program meticulously designed to prepare learners for thriving careers in the ever-evolving field of data science. The Master of Computer Applications in Data Science from Vignan Online delves deeply into subjects like data analytics, machine learning, and statistical modeling to sharpen skills in data visualization and predictive analytics. This specialized elective equips them with the knowledge and skills necessary to excel in roles like data scientist, data analyst, machine learning engineer, and more. The Online MCA in Data Science is curated by a team of seasoned faculty members and industry experts to empower learners in the realm of data science and analytics. This program offers a comprehensive pathway to success in the dynamic and rapidly expanding field of Data Science.

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  • Course Start Date:

    Starting soon

  • Application Deadline:

    Closing Soon

  • Duration:

    2 Years

90,000

Overview

An Online MCA (Master of Computer Applications) in Data Science is an all-encompassing and advanced program meticulously designed to prepare learners for thriving careers in the ever-evolving field of data science. The program delves deeply into data analytics, machine learning, and statistical modeling to sharpen skills in data visualization and predictive analytics. This specialized program equips learners with knowledge and skills necessary to excel in roles like data scientist, data analyst, and machine learning engineer.

Why MCA (Master of Computer Applications)?

This program features industry-focused curriculum designed by a panel of industry experts with training on how to compete and succeed on competitive data science platforms. Students gain in-depth knowledge of all necessary technological tools such as SQL, NumPy, Matplotlib, and Python. The program enables creation of a shareable e-portfolio of completed projects that demonstrate skills with up-to-date career-specific content including industry news, interview guides, resume guides, practice questions, and masterclasses.

What does this course have to offer?

Key Highlights

  • Industry-focused curriculum designed by industry experts

  • Competitive data science platform success training

  • In-depth technological tools knowledge including SQL NumPy Matplotlib Python

  • Shareable e-portfolio creation of completed projects

  • Skills demonstration through practical projects

  • Up-to-date career-specific content and resources

  • Industry news and interview preparation guides

  • Resume guides practice questions and masterclasses

Who is this programme for?

  • Computer science graduates seeking data science specialization

  • IT professionals looking to transition into data science

  • Data analysts aiming for advanced machine learning roles

  • Individuals interested in predictive analytics careers

  • Professionals wanting to excel in data visualization

  • Aspiring data scientists and machine learning engineers

  • Working professionals seeking career advancement in analytics

Minimum Eligibility

  • Bachelor's degree in any discipline with Mathematics at 10+2 level

  • Minimum 50% marks in graduation

  • Basic programming knowledge preferred

  • Working professionals welcome

Who is the programme for?

The admission process involves visiting the Vignan Online Enrollment Form, signing up, completing 4 essential steps to enroll for the program of choice, and paying fees through Net banking, Debit card, Credit card or using easy EMI with 0% interest. The program requires bachelor's degree in any discipline with Mathematics at 10+2 level and minimum 50% marks in graduation.

Important Information

Selection process

How to apply?

Curriculum

The curriculum covers comprehensive data science topics including Data Analytics, Machine Learning, Statistical Modeling, Data Visualization, Predictive Analytics, Python Programming, SQL Database Management, NumPy and Matplotlib for Data Science, Big Data Analytics, Deep Learning, Natural Language Processing, Data Mining, and Business Intelligence. The program is structured over 2 years with 80 program credits.

There are 4 semesters in this course

The program is structured as a comprehensive 2-year MCA with 80 program credits focusing on Data Science specialization. It includes core computer applications subjects in the first year and specialized data science electives in the second year. Each course requires 120 study hours with extensive hands-on practical and lab exercises. The curriculum includes project development components for creating a shareable e-portfolio of completed data science projects.

1st Semester

2nd Semester

3rd Semester

4th Semester

Programme Length

2 years full-time program with flexible online delivery and weekend live sessions.

Tuition Fee

The program offers flexible fee payment options including Semester Fee Plan at ₹22,500, Annual Fee Plan at ₹45,000, and Total Fee Plan at ₹90,000. Additional charges include University Registration Fee of ₹1,000 and Examination Fee of ₹4,000 per year. EMI options are available starting from ₹5,700 per month with 0% interest.

Fee Structure

Payment options

Financial Aid

Learning Experience

The learning experience includes 120 study hours in each course, interactive audio-video lectures, pre-recorded video lectures, discussion forums, self e-learning material, assignments and quizzes, independent and group projects, 8 to 12 hours of live online sessions on weekends, live Q&A sessions with faculty, extensive hands-on practical and lab exercises for tech-based courses, and technology-enabled online proctored examinations.

University Experience

Students benefit from Vignan's Foundation for Science, Technology and Research (Deemed to be University) status, state-of-the-art Learning Management System, career advancement services with structured placement framework, industry interface opportunities, mentorship programs, and comprehensive learner support through chat and message features, online forums, and continuous feedback and analytics systems.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

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About the University

University

AboutEstablished in 2009, VFSTR is a deemed university located in Vadlamudi, Guntur district of Andhra Pradesh. The institution spans 42.86 acres and offers over 300 programs across engineering, medicine, management, sciences, and other disciplines. Founded under the Vignan Educational Trust's guidance, it received deemed university status in 2008 and has since grown into a comprehensive research-intensive institution.

#80+

QS World Ranking Asia

24,500

Total Enrollment

#72

NIRF University Ranking 2024

Affiliation & Recognition

UGC Deemed University

UGC Deemed University

NAAC Accreditation

NAAC Accreditation

DSIR Research Center Recognition

DSIR Research Center Recognition

NBA Accreditation

NBA Accreditation

Career services

The university maintains a comprehensive placement ecosystem through its integrated placement cell. Students receive extensive pre-placement training through workshops, mock interviews, and group discussions. The institution has consistently achieved excellent placement records with multiple job offers per eligible student. In 2023, the university achieved an 85-90% placement rate, successfully placing 1,314 students.

85-90%

Overall Placement Rate 2023

44 LPA

Highest Package 2023

1314

Number of Placed Students 2023

Top Recruiters

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Degree Course Image
  • Course Start Date:

    Starting soon

  • Application Deadline:

    Closing Soon

  • Duration:

    2 Years

90,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.