Introduction about MSc (Data Science and Big Data Analytics) at Yenepoya University

The MSc in Data Science and Big Data Analytics at Yenepoya University equips students with advanced skills in analyzing and interpreting large datasets to extract valuable insights. This program blends theoretical knowledge with practical applications, preparing graduates for diverse roles in data-driven industries.

Admission Process

Fill out the online application form.

Submit required documents: transcripts, statement of purpose, letters of recommendation.

Clear the entrance exam or provide GRE/GMAT scores.

Attend an interview, if necessary.

Await admission decision.

Eligibility Criteria

Bachelor’s degree in a relevant field.

Minimum GPA of 3.0 on a 4.0 scale.

Proficiency in programming languages like Python or R.

GRE/GMAT scores (if applicable).

Duration

2 years

Fees Structure

Syllabus

Data Mining Techniques

Machine Learning Algorithms

Big Data Technologies

Statistical Analysis

Data Visualization

Research Methods in Data Science

Career Opportunities

Data Scientist

Big Data Analyst

Business Intelligence Analyst

Data Engineer

Data Architect

Machine Learning Engineer

Scholarship

Merit-based scholarships available.

Financial aid for deserving candidates.

Research assistantships.

FAQs

What is the duration of the MSc Data Science and Big Data Analytics program? 

The program is a 2-year full-time course.

What are the eligibility criteria for enrolling in the program? 

Candidates should have completed a BSc/BCA/BE/BTech with Computers/Mathematics/Statistics/Business Mathematics and secured a minimum of 50% marks.

What does the curriculum of the MSc program include? 

The curriculum covers data analytics, data mining, machine learning, big data technologies, statistical analysis, and data visualization, among other topics.

Does the program offer any hands-on experience? 

Yes, the program emphasizes hands-on learning through projects and assignments that apply knowledge to real-world problems.

What programming languages and tools will I learn during the program? 

Students will learn programming languages such as Python, R, and SQL, and develop skills in data cleaning, transformation, and modeling.

What are the career outcomes after completing this MSc program? 

Graduates can pursue careers as data scientists, data analysts, business intelligence analysts, data engineers, big data developers, and machine learning engineers.

Which industries can I work in with this degree? 

Graduates can find opportunities in healthcare, finance, e-commerce, government, and more.

Is there any industry partnership or collaboration as part of the program? 

The program includes industry partnerships to ensure students receive a well-rounded education that blends theory with practical experience.

How does the program prepare students for the data science field? 

The program equips students with the ability to handle large and complex data sets using advanced analytics techniques, enabling them to extract valuable insights and make informed decisions.

Can I apply for the program online? 

Yes, prospective students can apply for the program through the university’s official website.