Big Data & Analytics

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.

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

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.

While a background in coding can be beneficial, it is not strictly necessary. Many programs are designed to accommodate students from various backgrounds. Basic familiarity with data analysis tools and concepts is helpful but most courses provide foundational knowledge in analytics tools and programming languages.

Yes, several reputable institutions offer specialised MBA programs in Pharmaceutical Management, including:Amity UniversitySymbiosis Centre for Information Technology (SCIT)Usha Martin University (UMU)AGE University Bhopal 

Visit Forage's website to apply for one of their data visualisation courses, and if you don't already have an account, register. Look for the course on data visualisation and select the enrolling option. To finish your application, adhere to the registration instructions. Forage's classes typically last between four and six weeks, depending on the particular curriculum. Although many of Forage's courses are free, it's important to review the course specifics to make sure there aren't any hidden fees. Consult the Forage website's course listing directly for the most recent and accurate information on fees.

The CSE branch in the SRMIST Kattankulathur campus is the most demanded course and campus combination. It is the main campus of SRM University. As per the previous year's SRMJEEE rank for CSE, candidates with a rank up to 2000 can get the Computer Science engineering course at SRM KTR campus.On your SRMJEEE rank you have lesser probability of getting CSE in Kattankulathur campus.