An online M.Sc. is a two-year postgraduate degree that allows students to pursue advanced studies through digital learning. The VISTAS Online M.Sc. focuses on data science, statistics, programming and business analytics, helping students understand how data can be analysed and applied to practical problems.
The program runs for two years across four semesters and follows an online learning format.
Applicants need a bachelor's degree in Mathematics, Statistics or Computing Sciences from a recognised university or institution. Students should check the program's applicable recognition and approval status when evaluating degree validity.
The total program fee is ₹1,20,000, with the fee structure divided across the duration of the program.
The curriculum covers Python programming, data science, machine learning, data visualisation, big data analytics, deep learning and predictive analysis, along with laboratory work and projects.
This guide covers the VISTAS Online M.Sc. , including its key details, eligibility, fees, syllabus, learning approach and potential career options.
Key Highlights
Before looking at the subjects in detail, it helps to understand the basic structure of the program. Here are the key details listed for the VISTAS Online M.Sc.
Who Should Apply: Ideal Candidates for the Online M.Sc.
The program may suit learners who enjoy working with numbers, finding patterns and understanding how information can help solve problems. It does not matter whether you have a certain career in your mind; however, interest in mathematics, technology or analytical reasoning can be helpful at the beginning.
Online M.Sc. can be considered by:
Graduates with a quantitative orientation: Students with backgrounds in Mathematics, Statistics, or Computing Sciences and who wish to continue their education in these areas.
Working individuals: Those who wish to receive postgraduate education and continue working on professional duties.
Applicants aspiring to become data analysts: Students who are interested in analysis of datasets and identification of trends.
Professionals researching business analytics: Those who are interested in how data is used for planning and forecasting purposes.
Students interested in the development of new technologies: Students interested in machine learning, deep learning, natural language processing, and predictive analytics.
Students interested in research activities: Those who are interested in research oriented courses.
The program has a specific academic eligibility requirement, so applicants should check whether their bachelor's degree includes the required background in Mathematics, Statistics or Computing Sciences.
Documents Required for Online M.Sc.
Preparing your documents before starting the application can make the admission process easier. Applicants should review the university's current admission instructions for the exact list of documents required.
Academic Documents
Applicants should keep the following documents ready, subject to the university's requirements:
Class 10 marksheet or certificate.
Class 12 marksheet or certificate.
Bachelor's degree certificate or provisional certificate.
Graduation marksheets or consolidated transcript.
Any additional academic documents requested during verification.
Identity and Personal Documents
You may need to submit:
A government-issued identity proof.
A recent passport-size photograph.
Contact details, including an active email address and mobile number.
Additional Documents
Depending on your academic history and the university's verification requirements, you may also be asked for additional documents.
Benefits and Advantages
Data science involves more than writing code or using analytical tools. It also requires interpreting information and understanding how data can support real-world decisions. The VISTAS Online M.Sc. combines technical subjects with business-oriented learning.
Technical and Business Knowledge: Learn about programming, databases, statistics and analytics alongside Business Environment to understand how data supports business decisions.
Programming and Analytical Tools: Explore concepts through subjects such as Programming Logic using Python, Advanced DBMS and Data Mining, supported by practical labs.
Exposure to Advanced Analytics: Study Machine Learning, Deep Learning, Natural Language Processing and Predictive Analysis to understand different areas of data science.
Practical Learning Opportunities: Apply concepts through programming and analytics labs, an internship, a mini project and a research project.
Flexibility Through Online Study: Access live and recorded sessions while managing other academic or professional commitments.
Structured Postgraduate Learning: Progress from foundational concepts to advanced analytical subjects and project work over four semesters.
Teaching Methodology
Online study works best when students have a clear learning structure and opportunities to revisit difficult concepts. The VISTAS Online M.Sc. follows a 100% online format that combines live classes with recorded sessions.
The learning approach includes the following elements:
Live interactive classes: Students can attend online sessions and engage with the topics being taught.
Recorded sessions: Recorded content gives learners the option to revisit lessons when they need revision.
Practical labs: Python Programming, Advanced DBMS, Machine Learning, Data Visualization, Big Data Analytics and Natural Language Processing each have corresponding lab components in the syllabus.
Research and case-based learning: Research activities and case studies can help students examine concepts and work through analytical questions.
Internship and project work: The second semester includes an internship, followed by a mini project in Semester 3 and a research project in Semester 4.
Assessment through examinations and internal work: The program uses internal assessments and end-semester examinations to evaluate learning.
This combination gives students opportunities to work through concepts, practise relevant techniques and complete structured academic projects during the program.
Career Outcomes and Benefits
A postgraduate qualification in Data Science and Business Analytics can be relevant to several roles that involve working with information, analysing trends and supporting decisions. The opportunities available to an individual will depend on their technical skills, project experience, previous education and the requirements of employers.
The following roles are relevant to the subjects covered by the program.
Source: AmbitionBox
These roles have different entry requirements. For example, some positions may expect strong programming skills, experience with specific tools or a portfolio of relevant projects. The degree provides a foundation for further learning, but a particular job is not guaranteed by completing the program.
Benefits
The program offers several academic and practical benefits for students looking to build their knowledge of data science and business analytics.
Build Data Analysis Skills: Learn to examine datasets, identify patterns and interpret information to support informed decisions.
Develop Technical Knowledge: Study programming, databases, machine learning and other concepts relevant to data-focused roles.
Strengthen Business Understanding: Explore how data can help organisations understand trends, evaluate performance and address business problems.
Improve Data Visualisation Skills: Learn to present analytical findings through clear visual representations, reports and dashboards.
Gain Research Experience: Apply analytical concepts through research activities and project work included in the curriculum.
Prepare for Further Learning: Build a foundation for exploring advanced topics in data science, business analytics and related fields.
Conclusion
VISTAS Online University’s M.Sc. program consists of programming, statistics, data management, and advanced analytics for a period of two years. The course curriculum begins with the basics and gradually covers the areas of machine learning, big data analytics, and research through laboratories and projects.
If you are considering studying this program, you should first of all look into the eligibility requirements and the syllabus per semester of the course. Secondly, you can determine your goals and compare the cost of studying, mode of teaching, and laboratories with it.