Study from anywhere, at your own pace, ideal for working professionals.
Covers data analysis, machine learning, programming languages like Python and R, statistical methods, and big data technologies.
Engage in practical projects and real-world case studies to build a professional portfolio and apply knowledge effectively.
Gain skills in critical thinking, problem-solving, and data-driven decision-making, positioning graduates for roles like data scientist, machine learning engineer, and more.
The Master of Science (M.Sc.) in Data Science Online degree program is designed to equip students with advanced knowledge and skills in data science, a rapidly growing and in-demand discipline. This program blends theoretical concepts with practical applications, preparing graduates for successful careers in various industries, such as technology, finance, healthcare, and more.
The M.Sc. in Data Science program curriculum covers a wide range of topics essential to the field, including data analysis, machine learning, data visualisation, statistical methods, and big data technologies.
The Data Science Masters program emphasises critical thinking, problem-solving, and analytical skills, preparing graduates to tackle complex data challenges in today's data-driven world. Graduates are well-equipped to pursue roles such as data scientist, data analyst, machine learning engineer, business intelligence analyst, and more.
Train learners to demonstrate proficiency with statistical analysis of data.
M.Sc in Data Science equips graduates with the necessary skills to execute statistical analyses with professional statistical software.
Enable graduates to create and implement solutions with advanced computing skills addressing data management.
Prepare learners to develop the ability to build and assess data-based models.
Equip graduates with the capability to design, implement and test computational approaches to develop innovative and effective solutions for diverse sectors.
Enable the learners to apply data science concepts and methods to solve problems in the real-world context and communicate these solutions effectively.
Online Data Science Masters nurture creativity in graduates to enable them to excel in industry and research organisations.
Create technically sound, socially conscious and ethically committed professionals.
Work as a Data Science professional in the corporate sector, academia, or research organisations.
Use, analyse, and visualise data using specialised software tools.
Undertake research/investigation independently and display teamwork and leadership skills to solve real-life problems.
Apply computing theory, languages, algorithms, mathematical and statistical models, and the principles of optimisation to formulate and use data analysis in diverse sectors.
Masters in Data Science experts learn to integrate concepts of data science and mathematics to contribute towards key technologies in data science and business analytics, including data mining, machine learning, visualisation techniques, predictive modelling, and statistics.
Engage in lifelong learning and employ technical knowledge and strategies to address economic, environmental, health, national, global, cultural, societal and sustainability issues.
| Subject | Credit |
|---|---|
| Probability & Statistics using R | 4 |
| Mathematics for Data Science | 5 |
| Python for Data Science | 4 |
| Artificial Intelligence & Reasoning | 4 |
| Applied Multivariate Analysis | 4 |
| Total Credits | 21 |
| Subject | Credit |
|---|---|
| Machine Learning | 5 |
| Big Data Mining & Analytics | 4 |
| RDBMS, SQL & Visualization | 4 |
| RetData Mining Techniques | 4 |
| RDBMS, SQL, Visualization & Analytics Laboratory | 1 |
| Research Methodology & IPR | 2 |
| Total Credits | 20 |
| Subject | Credit |
|---|---|
| Deep Learning & Applications | 4 |
| Predictive Analytics, Regression & Classification | 4 |
| Ethics & Data Security | 3 |
| Elective I | 3 |
| Elective II | 3 |
| Total Credits | 17 |
| Subject | Credit |
|---|---|
| Machine Vision | 4 |
| Elective III | 3 |
| Elective IV | 3 |
| Project Work & Viva Voce | 16 |
| Total Credits | 26 |
Big Data Analyst
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