We are the millennials. And if nothing else, we stand out for our usage of technology. Whenever we use our smartphones for social networking, google searches, emails, booking tickets (trains, flight, movie or any other thing), we generate some amount of data. This data we create on a daily basis multiplies, just think about the amount of data we would create annually. It sums up to be a massive amount of data considering that almost every other individual out there is involved in the same task. With the amount of data we produce, someone has to be a cog in the wheel, in this case, they are Data Analysts. In this blog, we decode the role and skills required in MBA in Data Analytics.
MBA in Data Analytics: Highlights
|Course Name||Master of Business Administration in Data Analytics|
|Eligibility Criteria||At least 50-60% marks in bachelors degree|
|Selection Process||Entrance Exam, Personal Interview, Group Discussion, Academic Performance etc.|
|Age||No age limit|
|Average Fees Incurred||INR 5-25 Lakhs and more if pursued from abroad.|
|Average Salary Offered||INR 5- 40 LPA|
|Employment Roles||Data Scientist, Data Deployment Strategist, Data Analyst, Business Analyst, Data Architect, Data Developer|
This Blog Includes:
- MBA in Data Analytics: Highlights
- What is MBA in Data Analytics?
- Eligibility Criteria for MBA in Data Analytics
- Data Analytics v/s Business Analytics
- Technical Skills for MBA in Data Analytics
- MBA in Data Analytics: Universities Abroad
- MBA in Data Analytics: Colleges in India
- MBA in Data Analytics: Syllabus
- MBA in Data Analytics: Major Employment AreasMBA in Data Analytics: Major Employment Areas
- Jobs Prospects after MBA in Data Analytics
- MBA in Data Analytics: Top Recruiters
What is MBA in Data Analytics?
An MBA in Data Analytics is a two-year degree course that can be pursued by anyone who can pass the basic eligibility criteria. It aims to teach individuals different techniques to convert unstructured, semi-structured or fully structured data into meaningful insights. These insights then help in the strategy design, and operational decision making to decide a plan of action.
The subjects that are commonly studied in a course in MBA in Data Analytics are Big Data, Predictive Analytics, Python, Marketing Analytics, Information Security in Business, Cloud Computing and so on.
Also Read: MBA in Data Science
Eligibility Criteria for MBA in Data Analytics
To study an MBA in Data Analytics, students must meet the eligibility criteria set by the university they plan to join. Given below are basic requirements to pursue the same:
- Anyone who has completed their graduation from a recognized institution or university and meets the basic criteria of marks can go further in this direction.
- Some universities have their specific guidelines, so, make a note of it and proceed towards fulfilling these mandates.
- You must also prepare for GMAT, IELTS and TOEFL and pass them with flying colours.
Also Read: GMAT or GRE – A Better Choice?
Data Analytics v/s Business Analytics
Many of you out there might feel that Data Analytics and Business Analytics are more or less the same but we can assure you that they are not!
- Data Analytics is the kind of course that requires you to have a technical bent of mind while there is no such mandate in Business Analytics.
- Your main tasks in Data Analytics would revolve around data purging, cleaning, analyzing whereas Business Analytics tackles the functional aspect of businesses where they comprehend the data through market analysis and make the business plans adhering to the results of the analysis.
- A Data Analytic with the usage of various tools and techniques tests data and draws insights and then hands it over to a Business Analytic to interpret this data and read it in relation to the various business trends and understand where to imply this technical knowledge.
Also Read: Business Analytics vs Data Science
Technical Skills for MBA in Data Analytics
An MBA in Data Analytics would equip you with the following technical skills so that you do wonders in your careers:
Structured Query Language (SQL)
Your aspiration for MBA in Data Analytics wouldn’t be fulfilled without SQL. It is an easy language that is used in communications when trying to figure out relational databases. SQL appearance resonates with excel as both of these are structured, transparent and at the same time use 2D tabular format. Any motivated individual who is ready to devote some hours regularly to it can get a hang of SQL in no time.
It is a multi-paradigm language used for programming and coding. It is a unified language that can be employed for the task of running embedded systems, website construction and data science. The construction is inherently loaded with a good amount of ease, simplicity, and readability. However, the usage is extendable as per the nature of a task. Due to broad usage and a diverse base of this language, it is open-source software that is available for free and because of its common usage. In case of any queries or doubts, you can seek help from millions of people who are using it.
The graphical representation of data with the usage of visual elements like graphs, charts, maps, etc. is known as Data Visualisation. This way one can easily observe and interpret trends, and patterns. So, it works like a comprehensive tool that aids the analysis of truckloads of information and then helps make data-driven decisions. It comes in handy in various fields like Marketing, Finance, Consumer Goods, Education, Services Industry and so on.
MBA in Data Analytics: Universities Abroad
An MBA in Data Analysis will open many doors in the field of data analytics, which is in high demand. This field provides workers with opportunities for advancement and development while still paying well. Here is a table that lists the top 12 universities in the world, as well as their Data Analytics programs.
|Universities||Location||Program Offered||Duration of the Program|
|IU International University of Applied Sciences||Germany||MBA in Big Data Management||18 – 36 months|
|Nottingham Trent University||United Kingdom||Online Masters of Business Administration with Data Analytics||30 months|
|University of California Berkeley||USA||Online Master of Information and Data Science (MIDS)||12 months|
|University of Dayton||USA||Master of Business Analytics||12 months.|
|Key West University||USA||Online MBA – Concentration in Data Analytics||18 months|
|Ducere Global Business School||Australia||MBA (Data & Cyber Management)||Full-timePart-time|
|Arkansas Tech University||USA||Master of Business Administration in Data Analytics (Online)||2 years|
|Utica College||USA||MBA – Data Analytics||2 years|
|Institute of Computer Science – Polish Academy of Sciences||Poland||MBA – Innovation and Data Analysis||Part-time|
|University of Maryland Baltimore||USA||MBA Data Analytics||2 years|
|Southern Methodist University||USA||Online Master of Science in Data Science||Online MBA Program|
|Arden University||United Kingdom||MBA (Data Analytics)||18 – 60 months|
MBA in Data Analytics: Colleges in India
A list of a few colleges in India that offer MBA Data Analytics/ Business Analytics courses is provided below:
- IIM Calcutta
- Indian School of Business (ISB), Hyderabad
- IIM Bangalore
- IIT Kharagpur
- IIT Dhanbad
- Great Lakes Institute of Management, Chennai
- University of Petroleum and Energy Studies, Dehradun
- IIM Kashipur
- IMT, Ghaziabad
- Hindustan Institute of Technology and Sciences, Chennai
- Symbiosis Centre for Information and Technology, Pune
- Gurugram University, Gurgaon
- Welingkar (WE School), Mumbai
- Galgotias University, Greater Noida
- School of Management Studies, University of Hyderabad, Hyderabad
MBA in Data Analytics: Syllabus
Below is a semester-by-semester breakdown of the MBA in Data Analytics Syllabus covering most of the important subjects and courses. Please note that this is a general breakdown of syllabus that we have provided and the curriculum can be also different depending upon the university, course type, duration etc.
|Semester 1||Semester 2|
|Accounting for ManagersFinancial Analysis and Applied Statistics for Decision MakingMacroeconomics in the Global EconomyOrganizational BehaviorResearch Methodology||Applied Operations ResearchEconometricsFoundation course in Business AnalyticsData Cleaning, Normalization and Data MiningProject ManagementSpreadsheet Modeling|
|Semester 3||Semester 4|
|Applied Business Analytics Foundation Course on Predictive Analysis Foundation Course in Descriptive AnalysisSAP FICOStochastic ModelingSAP HCM||Ethical and Legal Aspects of AnalyticsHealthcare AnalyticsHR AnalyticsR ProgrammingSocial and Web Analytics|
Must Read: Masters in Data Science in Canada
MBA in Data Analytics: Major Employment AreasMBA in Data Analytics: Major Employment Areas
As and when the market for data analysts grows, it opens doors to a plethora of job opportunities in a variety of industries. Candidates will apply for any work profile that they are interested in. The following are some of the most important fields of work:
- Business Intelligence Units of Banks
- Data Management Services
- Technology Consultancy Companies
- Information Management Services
- Business Analytics & Research industry
- Software industry
- Analytics Solutions Providers
- Insurance Companies
Must Read: How to Become a Business Analyst
Jobs Prospects after MBA in Data Analytics
There are a lot of job options for students with an MBA in Data Analytics. Look at some of the lucrative career options we have mentioned below:
- Business Intelligence Units of Banks
- Healthcare Data Analyst
- Operations Analyst
- Data Engineer
- Data Scientist
- Data Analytics Consultant
- Data Management Services
- Data Architect
- Project Data Associate
- Business Analytics and Research Industry
- Business Intelligence Analyst
- IT Systems Analyst
- Quantitive Analyst
- Transportation Logistics Specialist
- Marketing Manager
- Personal Financial Advisor
- Financial Analyst
- Management Analyst
MBA in Data Analytics: Top Recruiters
The following are some of the top recruiters who are always looking for a successful data analyst:
- Wipro Technologies
- HCL Technologies
- Mahindra Satyam
- Cognizant Technology Solutions (CTS)
5 Best Careers to Pursue with an MBA in Data Analytics:
Higher-Level Roles in Business Administration.
Operations Research Analyst.
Computer Systems Analyst.
Mathematician or Statistician.
The duration of MBA in Data Science and Business Analytics is 2 years.
As a result, a Business Analytics or Big Data MBA program is beneficial because it teaches students how to sort, collect, and understand the consequences of data, as well as how to use it to achieve strategic objectives.
Here are some of the highest-paying jobs that an MBA graduate can apply for:
Chief Financial Officer and Chief Technology Officer
Director of Information Technology (IT).
Manager of an investment bank.
Manager of marketing.
Consultant of high-end management.
Manager of Computer and Information Systems (CIS).
Marketing, finance, international business, human resources, operations management, information systems, and supply chain management are only a few of the MBA specialisations in high demand. This illustrates the growing importance of the interdisciplinary model in industry and business.
MBA programs are designed to prepare students for positions of leadership such as executive, entrepreneur, or CEO. Data Science: Data science is a relatively new role that arose primarily as a result of the widespread use of digital systems around the world.
If you think you have a keen eye for Data and Management, then honestly, pursuing an MBA ins Data Analytics will be the right thing for you. If you consider going forward in this direction and need any help in the application process, or while shortlisting the list of universities to apply for, you can seek guidance from our counsellors and mentors at Leverage Edu who are experts at tackling such situations.