Data Analytics

To get into the B.Tech. Computer Science and Medical Engineering (Artificial Intelligence and Data Analytics) programme at Sri Ramachandra Faculty of Engineering and Technology, you must meet the following requirements:

• Pass the final exam of any board (CBSE, HSC, ICSE, and ISC) or equivalent with a minimum of 60% aggregate marks
• The subjects you must pass include Mathematics and Physics as compulsory, and Chemistry, Computer Science, Biology, or any other eligible subjects
• Follow the internal admission process, which includes an entrance exam and counselling session.

Absolutely yes, SASTRA Chennai Campus is good for M.Sc in Artificial Intelligence and Data Sciences . 

This institute have a good record of quality education. Faculty members are well qualified and experienced & most of them are Ph.D scholars so they have good knowledge of their subjects.Infrastructure of this institute is very good . Class rooms with projectores are available. Labs available for separate subject works. Provide good placement & internship opportunities.Also have good NIRF RANKING.

Karpaga Vinayaga College of Engineering and Technology most often provide about 18 seats for the M.E. in Big Data Analytics course. This number can be altered by the other admission policies of the college and changes in the regulations recommended by the government. The college also has other reasons that include category reservations and annual intake limits that may affect the allocation of the seats. However, any details relating to the availability of seats in this programme and the admission procedure in general should be sought from the college admission office .

A Master of Science in Business Analytics at the University of Texas at Dallas offers students practical and theoretical knowledge in a variety of fields like Data Science, Data Engineering, and Data Analytics. The programme allows the students to opt for either a flex, cohort or Online degree option at their convenience. Graduate students of the programme can explore career options in fields like Data Scientists, Data Engineers, Fraud Analysts, Pricing Analysts, Strategic Business Analysts, and many more.

Like any graduate program, a Master's in Data Analytics can be challenging requiring dedication and effort. The difficulty often depends on your background in quantitative subjects and your willingness to engage with the material. However, many find it rewarding and manageable with the right preparation.

While coding is helpful especially in advanced data analytics roles, it is not always necessary. Many tools (like Excel, Tableau, and others) allow you to perform data analysis without extensive coding knowledge.

Graduates typically analyze data to derive insights, inform strategic decisions and drive business improvements. They may work in roles such as data analysts, business analysts or managers overseeing analytics projects.

An MBA in Data Analytics focuses specifically on data analysis, statistical methods and data-driven decision-making while a general MBA covers broader business concepts without a specific emphasis on data. The specialised programme prepares graduates for the roles that requires strong analytical skills in addition to business acumen.

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MBA in Data Analytics

Graduates can find opportunities in a wide range of industries including:

• Finance
• Healthcare
• E-commerce
• Consulting
• Technology
• Retail

An MBA in Data Analytics equips you with both technical and managerial skills enhancing your ability to interpret data and make strategic decisions. This combination prepares you for leadership roles increases your employability and positions you for promotions in data-driven organizations.