Business Analytics v/s MS in Data Science: Which is better?

4 mins read11.8K Views Comment
Rahul Singha
Study Abroad Expert
Updated on Nov 25, 2020 20:02 IST

Candidates looking to pursue further studies in Business Analytics or Data Science are often confused between the two. Hence we have tried to individually talk about the courses and elucidate the difference between the two, for students to make a more conscious effort while planning ahead. In this article, we are going to talk about Business Analytics, Data Science and dive into the differences between the two.

What is Business Analytics?

Business Analytics can be described as a study involving the amalgamation of data analytics and business intelligence on a given set of data to undertake future business strategies and plans.  Business Analytics is taught as a specialization while pursuing your Master of Business Management (MBA).

Studying Business Analytics typically involves the evaluation and study of available data to gain an understanding of the planning and execution of future business strategies and goals. Candidates having pursued Business Analytics would be able to optimize operations, increase revenue by saving on operational cost, improve better customer relation, and predict future trends in the market thereby enabling accurate strategic decisions and business plans.

Top Universities for Business Analytics

Candidates wanting to pursue Business Analytics can check out popular universities offering the same.

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Who can pursue Business Analytics?

Eligibility for Business Analytics would require candidates to be a Graduate or equivalent. They would also be required to have GMAT scores or GRE exam scores and also appear for an English Proficiency test such as IELTS, TOEFL or PTE. However, it is always recommended for candidates to check with their university eligibility guidelines to know about the complete admission criteria.

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What is Data Science?

Data Science involves the process of examining data sets to draw conclusions on the basis of information available in them with the help of various software or specialized systems. Data Science has over the years grown into a booming skillset as it enables carrying out more-informed business decisions based on scientific data and research.

Tools used in procuring Data Science help scientists and researchers in verifying or rejecting scientific models, theories and hypotheses, thereby helping businesses improve operational efficiency and customer service, gain a competitive edge and increase revenues. There are two forms of Data Science: Quantitative Data Science and Qualitative Data Science.

Top colleges for Data Science

Candidates wanting to pursue Data Science can check out popular universities offering the same.

Eligibility Criteria for Data Science

Candidates wanting to pursue Data Science should have completed their graduation or equivalent preferably in Science or Computer Science from a recognized university. They would also be required to appear for an English proficiency exam and have qualifying PTE scoresIELTS scores or TOEFL scores. Universities could also require students to provide their GMAT/ GRE scorecard during the time of their application. It is always advisable for candidates to check the university admission guidelines to know about the complete admission criteria. 

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What is the difference between Business Analytics and Data Science?

 Confused about pursuing Data Science or Business Analytics? Check out the major differences between pursuing Data Science and Business Analytics in the table provided below.

Data Science

Business Analytics

Involves the science of data study using statistics, algorithms, and technology

Is defined as the Statistical study of business data

Involves a lot of coding skills

Involves minimal coding skills

Analysis results of Data Science cannot be used  on day to day decision making of the company

Analytics is often vital in making key decisions by management

The study does not answer clear-cut questions. The questions are mostly general in nature

The study answers very specific business-related questions mostly financial

Data Science uses both structured and unstructured data

Business Analytics uses mostly structured data

Data Science has the potential to take leaps and bounds especially with the coming up of Machine Learning and Artificial Intelligence

Business Analytics is yet to foray into artificial intelligence

Data Science depends largely on the availability of data

This is not the case for Business Analytics

Also read: Data Science vs Machine Learning

Businesses can expect a major shift in the way data is analyzed, given the recent developments in both Data Science and Business Analytics. With Big Data being rapidly available, business organizations will have the opportunity to explore different varieties of data and help the management make key decisions. Interpretation of available data will allow management a chance to know where they will stand in the near future and hence, would want to make confident decisions today.

Candidates should keep in mind that gone are the days when analysis just involved statistics and survey data. Data Science and Business Analytics offer employees multiple opportunities to learn and improve themselves. With changing data and learning trends, Data Science and Business Analytics opportunities that lay ahead are plenty and candidates wanting to pursue these copurse4s should make the most of the opportunity.

About the Author
Rahul Singha
Study Abroad Expert

With over 8 years of experience in overseas education, Rahul Singha has been previously associated with prominent education houses. He is also responsible for keeping a sharp eye on education policies of major study... Read Full Bio


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