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The Online M.Sc in Data Science at Amity University Online is a two-year postgraduate programme designed to build advanced knowledge in data science and analytics. It focuses on helping students understand how data is used for decision-making and problem-solving in different industries.
The Online M.Sc in Data Science programme is delivered completely online through a digital learning platform where students can access recorded lectures, attend live sessions and complete assignments. It allows flexible learning while covering important topics in a structured way.
After completing an Online M.Sc in Data Science, students can explore different career roles in the data field. At the entry level, roles include Data Analyst, Junior Data Scientist or Business Intelligence Analyst. With experience, they can move to roles such as Data Scientist, Machine Learning Engineer or Database Administrator. At advanced levels, they can aim for positions such as Senior Data Scientist, Data Science Manager or Chief Data Officer (CDO).
Candidates applying for the Online M.Sc in Data Science at Amity University Online must meet the following eligibility criteria:
For Indian students, applicants must have a Bachelor’s degree in a Science discipline from a recognised university.
For foreign students, candidates must have completed graduation from a recognised university and provide a Certificate of Equivalence from the Association of Indian Universities to apply in India.
The programme is suitable for students and professionals who want to build a career in data science, analytics and AI.
Admission to the Online M.Sc in Data Science at Amity Online is conducted through an online application process. Candidates need to select the programme, submit the application form and complete the fee payment to confirm enrolment.
Step 1: Programme Selection- Choose the Online M.Sc in Data Science programme on the official website.
Step 2: Complete the Application Submission- Fill in personal, academic and contact details in the online application form.
Step 3: Fee Payment- Pay the programme fee through the secure online payment system.
Step 4: Registration- Submit the application and complete the registration process.
Step 5: Enrolment Confirmation- After submitting the application, candidates need to wait for their enrolment details and further guidance from the university.
The syllabus of the Online M.Sc in Data Science at Amity Online is designed to build strong analytical and technical skills. It starts with basic concepts in statistics and programming, then moves to advanced topics like machine learning, AI and big data. In the final semester, students work on a project and an internship to gain practical experience.
Probability and Statistical Structures
Programming with Python
Data Science
Data Warehousing and Mining
Professional Communication
Linear Algebra and Matrices
Data Science with R
Data Engineering
Business Analytics
Data Visualisation
Cognitive Analytics and Social Skills for Professionals
Optimisation Techniques
Machine Learning and Deep Learning
Natural Language Processing
Big Data Analytics
Artificial Intelligence
Data Science Product Development
Big Data and Analytics using R
Minor Project
Professional Ethics
Project Work and Internship
The Amity Online follows an online examination system as per the university guidelines for its online programmes.
Exams are conducted in online mode through a secure and proctored system on the student portal.
Mock tests are provided to help students understand the exam format and system.
Flexible time slots are available, allowing students to choose a convenient schedule.
Students are also assessed through assignments and internal evaluations during the course.
The programme is a two-year postgraduate course divided into four semesters.
The course is delivered fully online through a digital platform with recorded lectures, live sessions and assignments, allowing flexible learning.
The programme includes topics like statistics, Python, R, machine learning, artificial intelligence, big data and data visualisation.
Yes, students work on a minor project and a final project with an internship in the last semester to gain practical exposure.
Students can explore roles such as Data Analyst, Data Scientist, Machine Learning Engineer and Business Intelligence Analyst.
Students with a Bachelor’s degree in a Science discipline and an interest in data and analytics can apply for this programme.