Big Data Analytics

Big Data Analytics is a Masters program taught at Sri Sai Ram Engineering College, India. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master’s in Big Data Analytics at Sri Sai Ram Engineering College provides an in-depth exploration of data analysis, statistical methods, and machine learning techniques to derive meaningful insights from vast amounts of data. Throughout the program, students will engage with various programming languages, analytical tools, and data visualization techniques that facilitate informed decision-making in business and technology.

This course covers core areas such as data mining, predictive analytics, and big data technologies. Students will learn to handle large datasets using tools like Hadoop and Spark, and gain proficiency in data warehousing and cloud computing. The curriculum includes a blend of theoretical knowledge and practical applications through hands-on projects and case studies, ensuring that graduates are well-prepared for the challenges of the industry.

Skills gained from this program include data interpretation, critical thinking, problem-solving, and proficiency in data manipulation and visualization. By studying in this country, students benefit from a robust tech landscape and opportunities for internships and networking with industry professionals, enhancing their practical experience and future employability.

The minimum requirements for admission in Big Data Analytics at Sri Sai Ram Engineering College for all applicants (Domestic or International) are:

• program specific academic requirment set by Sri Sai Ram Engineering College.
• English Language OR any other language requirments as set by Sri Sai Ram Engineering College as pre-requiste for admission in Big Data Analytics.

Note: Please check the university website in the link below.

Applicants typically need a recognized undergraduate degree in computer science, information technology, engineering, or a related field. Additionally, a solid foundation in mathematics and statistics is essential for success in this program.

International applicants are generally expected to demonstrate proficiency in English, typically achieved by scores of around 6.5 in IELTS or 80 in TOEFL. It is recommended to check specific requirements as they may vary.

Please check detail of study units at https://sairam.edu.in/program-offered/

• Data Scientist
• Business Intelligence Analyst
• Data Engineer
• Machine Learning Engineer
• Quantitative Analyst
• Big Data Consultant

10 fully funded scholarships are listed for India. See India scholarships.