An MBA in Data Science is a course for business professionals that combines analytical skills and business management. The candidates are given a holistic understanding of data science and also encouraged to develop cross-functional management skills.
This course is designed to impart the necessary skills and knowledge to students to help them succeed in business. MBA programmes offer different specializations and allow students to choose their areas of interest. Data scientists are well equipped to understand the modern business environment and deploy the cutting edge analytical methods they learn for efficiency and better performance.
This MBA programme helps candidates convert data into better business decisions. Data analytics adds value and effective communication for data scientists who crunch the numbers.
This MBA course with a specialization in data science prepares the candidates to take up careers in strategic planning, brand management, risk management, management consulting and public finance.
In this blog we will:
Data Science is most often confused with data analytics. Data science is the umbrella under which data analytics is covered. A few key salient features of the data analytics degree are as follows:
The rapid development and importance of Big Data has created the need for Data Science and Data Analytics, The massive growth in data can be attributed to the huge volumes being contributed by the whole world. It had been predicted that by the year 2025, the world would have generated 463 exabytes of data
Everything that we do online is included in Big Data. This covers emails, texts, tweets, online searches by the user (using search engines) social media chatter the data generated from IoT and all connected devices. The vastness and complexity of the data generated make it impossible for it to be handled by traditional data processing and analysis systems. Data Science and Data Analysis make it easy to handle such data.
Data Scientists interpret data and extract insights from it. They clean, process and interpret data using Machine learning, statistical and mathematical techniques. Advanced data modelling processes are designed using prototypes, custom analysis, ML algorithms, and predictive models.
An MBA in Data Science helps in the technical interpretation of data and strategic planning and management.
| Type of Degree | Masters |
| Full name of course | Masters of Business Administration in Data Science |
| Course Duration | 2 years |
| Age | No age limit |
| Minimum percentage required | 50% in undergraduate degree from a recognized university |
| Average Fees | INR 4-5 Lacs per annum |
| Average Salary | INR 4.5 Lacs per annum ( Source: Payscale ) |
| Job roles | Risk analyst, business analyst, data analyst, data scientist and data trainer |
The duration of this course is two years. The candidates must be well versed with computer programming and mathematics. A few subjects covered in the syllabus are:
The eligibility criterion for this course is a bachelor’s or an equivalent degree with a minimum aggregate of 50% from a recognized university. The students in the SC, ST and OBC category have a 5% relaxation in the minimum aggregate
The Subjects at the graduation level of the candidate should be Mathematics, Science, Engineering, Physics or any other related field to data analytics.
The average fees structure is INR 4 – 5 LPA
Data Scientists need a combination of educational, technical, interpersonal and important soft skills.
Good communication ensures that business requirements are understood well. Stakeholders can be probed for more data and key data insights can be communicated well.
Storytelling ensures that analytical solutions derived are communicated clearly, concisely and to the point.
Collaboration ensures that the interaction with different teams, fellow data scientists, data engineers and data architects is done smoothly.
Learning ensures that new developments and concepts are understood. Constant learning and up gradation of existing skills is very crucial.
This is considered a popular and rewarding career. The top 5 reasons pursuing MBA in Data Science Course:
The above 5 reasons help candidates decide on choosing this as a career.
Data scientists are in high demand in the following sectors –
There are tremendous opportunities in this field. There is a huge demand for data scientists overseas. Some of these countries are the USA, Canada, Ireland, and Australia.
In India, the boom in the economy, increase in the number of start-ups, an upsurge in e-commerce, a customer-oriented market and a huge more than billion population are responsible for a high demand for data science professionals.
This course makes the students digitally strong, and the updating and processing of data is a skill that is in high demand.
The various job roles can be –
The other industries that the graduates can work in are –
The indicative salary trends are:
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The above salary range is indicative. The factors that influence salary which may vary is due to the location, experience, skills, and the company.
If you have your sights set on an MBA in Data Science, a prestigious institute that has emerged on the educational horizon is MIT –ADT University.
Among the ample reasons to choose this university are – an experiential approach to learning, highly advanced and well-equipped skill labs, a well-designed comprehensive curriculum by experts. A major highlight is the CAPSTONE PROJECT that will include a real-life data science programme for the students to learn from. The expert faculty, advanced infrastructure and state of the art campus are all positioned to catapult you towards a successful career!
Fill in the form at http://bit.ly/ApplyNow_MIT-ADTU to explore and enter the rewarding world of an MBA in Data Science ……
