Data Analytics is the systematic process of analyzing a set of data using specialized softwares to drive business decisions. It is a combination of Statistics, Computer Science, and Business that helps uncover trends, pitfalls and predicts events.

Types of Data Analytics

• Data Analytics courses can be pursued full time, part time and online.
• A student has the option to study this during their bachelors or post-graduation.

• Minimum 50% aggregate marks
• No prior coding experience/knowledge required

Data Analytics Entrance Exams in India

Some colleges conduct their own entrance exams, such as: SNAP, XAT, JET most colleges accept one of the following national level entrance exams for admission: MAT, CAT, CMAT, ATMA

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The Admission process is simple:

• Fill Application Form
• Pass relevant Entrance Exam
• Pay Fees

Every organisation understands the value of Data and using it to understand and predict business. A good data analyst can make the different between a bust company and a robust one.

Data Analysts are in high demand the world over, and a degree from a foreign university can open up many doors for you.

Why study data analytics abroad for Indian students?

The advancement in technology ensures ample opportunities in the job market for qualified data analytics professionals. Studying Data Analytics abroad for Indian students has become very popular.

Some of the benefits of studying data analytics abroad are:

• Getting a high-value degree abroad will help you to work globally.
• Opportunity to learn from experts worldwide and gain practical knowledge.
• Becoming a pro at communication and soft skills.
• Studying Data Analytics abroad gives you a higher salary package even at the start of your career.
• Socializing with new people who belong to a different culture and native places.

The eligibility and requirements for Indian students for studying data analytics will be based on the specific country and university that you are applying to.

A few of them are:

• Resume
  Candidates should have an organized resume or CV.
• Language Test
  The applicant should clear language proficiency tests like IELTS, TOEFL, PTE, etc.
• Entrance Examination
  One should secure a good score (different for each university) in admission tests like GMAT, GRE, etc.
• Letter for reference
  The candidate must carry a Letter of recommendation or Academic reference from their previous employer or university.
• Knowledge in programming languages
  To pursue data analytics abroad, a strong skill set of programming languages is required to understand the curriculum better.
• Degree certificate
  Students opting for Postgraduate level should hold a Bachelor's degree with at least 50% marks in aggregate, preferably in Computer science.

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Countries

While choosing to study Data analytics in a particular country, one must consider various aspects like the environment and culture, expert teachers, curriculum, and placement opportunities. Some of the top countries to study data analytics abroad are the USA, UK, Canada, Germany, and France.

Cost of education, accommodation, cost of living, food preferences, climate, language proficiency, scholarships are the foremost things to be examined before enrolling in university. Almost all the universities offer accommodation, free scholarships to study abroad, and other facilities. The minimum grades in admission tests will vary depending on the country and the university.

Here's a table summarising the basic information about the country, institution, and the cost and duration of studying Data Analytics abroad.

*indicative figures. Subject to change.

Specializations

Students can focus on specialization if they want to explore Data Analytics further. Specializations allow students to get high-paying offers in the most sought-after IT companies the world over.

The main six types of Data analytics are:

One must choose their specializations, giving their interest and future scope a priority. The tools often used for Data Analytics are:

• Python
• SQL or Structured Query Language
• SAS or Statistical Analysis System
• Microsoft Excel

Career opportunities

If you want to become a software engineer with a high salary package, studying data analytics abroad can be your answer. Huge job opportunities will be available if you graduate from universities abroad with good grades.

Some of the data analytics job opportunities are:

Speak to our expert counselors today to know more about studying data analytics abroad.