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Career options after an MBA in Data Science

Blog Date
November 7,

Data science is one of the most in-demand fields that combines statistical analysis, computer science, and domain expertise to extract valuable insights from data. It involves collecting, processing, and interpreting vast datasets to inform decision-making and solve complex problems. A career in data science is highly lucrative, as the demand for skilled professionals continues to surge across various industries.  

With an MBA in Data Science, you can pursue diverse career paths, including Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Data Analyst, or even Data Science Manager. These roles offer competitive salaries, career stability, and opportunities for impactful contributions in the era of data-driven decision-making. 

How good is a career in data science? 

A career in data science is exceptionally promising. The scope is vast, spanning industries like tech, healthcare, finance, and e-commerce, where data-driven insights drive innovation and competitiveness. As businesses increasingly rely on data, data scientists are in high demand. Salaries are notably attractive, with entry-level positions offering competitive packages and experienced professionals earning significantly more. The potential for growth is high, and with continuous learning, data scientists can stay at the forefront of technology. It’s a dynamic and fulfilling career path, offering the opportunity to solve complex problems, make data-driven decisions, and shape the future across diverse sectors. 

Check out: A guide to MBA in data science 

Top jobs you can explore after an MBA in data science 

Data Scientist: Data scientists collect, clean, and analyze data to extract valuable insights and develop predictive models, enabling data-driven decision-making. 

Salary: Data scientists can earn an annual salary of up to INR 25 lakhs 

 Machine Learning Engineer: These professionals design, build, and deploy machine learning models and algorithms that power AI applications and systems. 

Salary: A machine learning engineer can earn an annual salary of up to INR 20.5 lakhs 

 Data Analyst: Data analysts focus on interpreting data, creating reports, and visualizations to support business decisions and solve problems. 

Salary: Data analysts can earn an annual salary of up to INR 11.5 lakhs 

Business Intelligence Analyst: BI analysts use data to create interactive dashboards, reports, and visualizations that help organizations make informed strategic decisions. 

Salary: A business intelligence analyst can earn an annual salary of up to INR 15.9 lakhs 

Data Engineer: Data engineers design and manage data pipelines and infrastructure, ensuring that data is available, reliable, and ready for analysis. 

Salary: Data engineers can earn an annual salary of up to INR 20 lakhs 

Statistician: Statisticians apply statistical techniques to analyze data, conduct experiments, and make predictions in various fields. 

Salary: Statisticians can earn an annual salary of up to INR 17 lakhs 

Research Scientist: Research scientists work in academia, research institutions, or corporations, conducting advanced research in data-related fields, pushing the boundaries of knowledge. 

Salary: A research scientist can earn an annual salary of up to INR 16.1 lakhs 

Big Data Engineer: Big data engineers manage and optimize large-scale data systems and frameworks, making it possible to store, process, and analyze massive datasets efficiently.  

Salary: A big data engineer can earn an annual salary of up to INR 20 lakhs 

Industries that require data science professionals 

Data science professionals are in demand across a wide range of industries due to their expertise in extracting insights from data. Here are some industries that require data science professionals: 

  • Technology: Tech companies use data science for product development, user experience enhancement, and data-driven decision-making. 
  • Finance: The financial sector relies on data science for risk assessment, fraud detection, algorithmic trading, and customer analytics. 
  • Healthcare: Data scientists help in clinical research, disease prediction, patient outcome analysis, and healthcare management. 
  • Retail and E-commerce: These industries use data science for inventory management, sales forecasting, personalized marketing, and customer retention. 
  • Manufacturing: Data science is applied to optimize production processes, quality control, and supply chain management. 
  • Telecommunications: Telcos use data science for network optimization, customer churn prediction, and service quality improvement. 
  • Energy and Utilities: Data science is utilized for energy consumption analysis, grid management, and predictive maintenance. 
  • Marketing and Advertising: Data scientists work on customer segmentation, ad targeting, campaign optimization, and ROI analysis. 
  • Transportation and Logistics: Data science helps optimize routes, reduce fuel consumption, and improve logistics operations. 
  • Government and Public Policy: Data science aids in policy analysis, crime prediction, and resource allocation in the public sector. 
  • Pharmaceuticals: Data science is used in drug discovery, clinical trials, and pharmacovigilance. 
  • Aerospace and Defense: These sectors employ data science for aircraft design, maintenance, and national security. 

The applications of data science are continually expanding, making it a versatile field with numerous opportunities in various industries. 

Also read: How to switch to a career in data science 

Top Companies that hire data science professionals 

Google: Known for its data-driven approach, Google frequently hires data scientists for a variety of projects and initiatives. 

Amazon: Amazon uses data science for supply chain optimization, customer recommendations, and more. 

Apple: Apple leverages data science in product development, marketing, and user experience improvement. 

Microsoft: Microsoft uses data science for software development, cloud services, and business analytics. 

IBM: IBM is a pioneer in data science and often hires professionals for its AI, analytics, and consulting divisions. 

Netflix: Data scientists at Netflix work on content recommendation algorithms and content production decisions. 

Uber: Uber employs data scientists for pricing, route optimization, and driver-rider matching. 

Airbnb: Data scientists at Airbnb work on pricing, user experience, and property recommendations. 

Tesla: Tesla uses data science for autonomous driving, vehicle diagnostics, and energy management. 

Walmart: Walmart applies data science in supply chain management, pricing, and customer analytics. 

JPMorgan Chase: The financial sector utilizes data science for risk assessment, fraud detection, and investment strategies. 

McKinsey & Company: Management consultancies like McKinsey employ data scientists for data-driven insights and strategies. 

Accenture: Accenture offers data science services and often hires data professionals for consulting projects. 

Airbus: Aerospace companies like Airbus use data science for aircraft design, maintenance, and safety. 

LinkedIn: Data scientists at LinkedIn work on professional networking, user engagement, and job recommendations. 

READ MORE: MBA Analytics & Data Science course syllabus 

Career growth opportunities in data science 

Prepare for a lucrative career in data science with an online course on Online Manipal 

If you’re someone who’s looking to start or advance your career in data science, start by pursuing the right course. On Online Manipal, you can find some of the top data science courses that help you gain the necessary knowledge and skills to pursue your career in data science. These include MBA in Data Science, MBA in Analytics & Data Science, MSC in Data Science, and PGCP in Data Science and Machine Learning. All these courses have an industry-relevant curriculum and are taught by highly experienced professionals through live online classes. The flexible class timings, availability of recorded lectures, free e-learning materials, expert webinars, access to Manipal alumni, and placement assistance are some of the key highlights of these programs 

Check out: Best resources to master data science 

Bottom line 

An MBA in Data Science opens doors to a multitude of promising career options. Graduates can embark on diverse paths, such as becoming Data Scientists, Machine Learning Engineers, Business Analysts, Data Analysts, or Data Science Managers. They can contribute their expertise to a wide array of industries, from tech to finance, healthcare to e-commerce. With the ever-growing reliance on data-driven insights, job opportunities are abundant, and remuneration is often lucrative. This combination of versatility and high demand makes an MBA in Data Science a compelling choice for those seeking a dynamic and rewarding career. 


Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.

Additionally, information like fee, eligibility, scholarships, finance options etc. on offerings and programs listed on Online Manipal may change as per the discretion of respective universities so please refer to the respective program page for latest information. Any information provided in blogs is not binding and cannot be taken as final.

  • TAGS
  • data science
  • Master of Business Administration
  • Online MBA

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