M.Sc. (Data Science and Big Data Analytics) with IBM
Duration
2 years
The scope of the M.Sc. (Data Science and Big Data Analytics) program is vast and promising, given the increasing demand for data science professionals in various industries. With the ever-increasing amount of data being generated by businesses, there is a need for professionals who can extract valuable insights from these data sets and turn them into actionable intelligence. This has resulted in an exponential growth in the demand for data science professionals.
The program prepares graduates to work in various roles, including data analysts, data scientists, big data architects, business intelligence analysts, and data engineers. Graduates can work in various industries, including healthcare, finance, e-commerce, and government. The program equips students with the knowledge and skills required to handle large and complex data sets using advanced analytics techniques, enabling them to extract valuable insights from data and make informed business decisions.
The M.Sc. (Data Science and Big Data Analytics) program is designed to equip students with the knowledge and skills required to handle large and complex data sets using advanced analytics techniques. The program focuses on the analysis, interpretation, and extraction of insights from data, enabling graduates to make informed decisions that impact businesses and organizations.
The program covers various aspects of data science, including data analytics, data mining, machine learning, big data technologies, statistical analysis, and data visualization. Students will also learn programming languages such as Python, R, and SQL, and develop skills in data cleaning, transformation, and modeling.
Eligibility
- Any BSc/B.Com/BCA/BE/BTech with Computers/Mathematics/ Statistics/Business Mathematics with Minimum 50% for Boys & Girls
Career outcomes
A data scientist is responsible for analyzing large and complex data sets using various analytical and statistical techniques to extract meaningful insights and make data-driven decisions.
A data analyst is responsible for collecting, analyzing, and interpreting large data sets to identify patterns, trends, and insights that can help organizations make informed decisions.
A business intelligence analyst is responsible for analyzing and interpreting data to help organizations make informed decisions related to business operations, sales, and marketing.
A data engineer is responsible for designing, building, and maintaining data pipelines and systems that can handle large and complex data sets.
A big data developer is responsible for developing and implementing solutions for storing, processing, and analyzing large and complex data sets using various big data technologies.
A machine learning engineer is responsible for designing, building, and deploying machine learning models on large-scale data sets to enable predictive analytics and decision-making.
A data visualization expert is responsible for presenting data in a visually appealing and easy-to-understand format, enabling organizations to gain insights from the data quickly.
Program USP
The program takes an integrated approach to data science and big data analytics by combining concepts and techniques from computer science, statistics, mathematics, and business.
The program offers a customized curriculum that can be tailored to meet the specific needs and interests of students, allowing them to focus on areas such as data mining, machine learning, or big data analytics.
The program emphasizes project-based learning, which enables students to apply their knowledge and skills to real-world problems and develop practical solutions.
The program offers research opportunities for students who are interested in pursuing a career in academia or research, providing them with the skills and knowledge required to conduct cutting-edge research in data science and big data analytics.
Program Highlights
The program offers a comprehensive curriculum that covers various topics such as data mining, machine learning, big data analytics, data visualization, and statistical analysis.
The program emphasizes hands-on learning through various projects and assignments that allow students to apply their knowledge and skills to real-world problems.
The program is designed to equip students with industry-relevant skills in data science and big data analytics, making them highly sought after by employers.
The program is taught by experienced faculty members who are experts in the field of data science and big data analytics.
The program provides students with career services such as resume building, interview preparation, and job search assistance, helping them to secure employment in the field of data science and big data analytics.
