With a master’s degree in business intelligence and big data, you will follow a number of career routes.

Machine learning engineer

US$110,739 is the annual income.

Machine learning engineering is still a relatively recent field. Machine learning engineers work with the data science team to design programs and algorithms for data-driven products and services that enable machines to make decisions, take action, and optimize customer experience without the need for human interaction. Self-driving cars and customized social media news feeds are two examples of this.

Machine learning engineers usually have a bachelor’s degree in algebra, physics, or mathematics, as well as a master’s or Ph.D. in a similar area.


US$73,054 is the annual income.

Function in a number of areas, such as education, economics, health, the environment, sport, transportation, market analysis, and government.

Statisticians collect, interpret, and review objective results from surveys and tests in order to support organizations in meeting organizational expectations and provide guidance on realistic problem-solving solutions.

If you want to work in this sector, you’ll need appropriate skills and industry experience.

Data analyst

US$60,208 is the annual income.

Pharmaceuticals, engineering, consultancy, banking, education, and government are only a couple of the businesses where you can work.

Data analysts are curious, logical, and have a passion for statistics. If it’s sales numbers, logistics, market analysis, or shipping costs, every company and corporation collects data. It is your role as a data scientist to compile and interpret this information in order to have meaningful feedback on how the company can strengthen its market plan and make informed business choices in different ways.

Chief technology officer (CTO)

Average salary: US$159,149

This executive-level role requires an expert-level understanding of technical innovations and how they can be applied in building market strategies. Chief technology officers are masters in creative innovation and performing technical research as they look for areas in which they can ensure the company stands out in an ever-increasing dynamic marketplace.

When you lead the team and determine which innovations are best to harness in order to maintain a positive customer experience and achieve productivity across all aspects of the market, good leadership and management skills are important.


Project manager

US$73,901 is the annual income.

Construction, architecture, information technology, and marketing are all choices.
As a project manager, you’ll plan, budget, and oversee the organization’s project(s) leveraging your data-driven business acumen. You’ll just need to be well-organized, with good leadership and critical-thinking ability.


Business/analytics translator

Average salary: US$53,552 

Finance, banking, and consultancy services are all choices.

Business/analytics translators are filling the void between an organization’s business team and the technology team as more companies shift their focus to advanced and creative technologies like artificial intelligence (AI) and machine learning to leverage success and increase business performance.


The corporate and technology divisions within a corporation will be on different sides of the spectrum, resulting in misunderstandings, miscommunications, and, in some cases, major mistakes. Business/analytics translators work to maintain the emphasis on the organization’s principles and goals while both learning and analyzing data.


Chief data officer (CDO)

Average salary: US$180,458

The average annual wage in the United States is $180,458.

Banking, corporate IT agencies, consultancy, banking, and healthcare services are also potential places to operate.

Just 12% of Fortune 1000 firms had a CDO in 2012. According to Forbes, 67.9% of businesses surveyed said they had a CDO within six years. The chief data officer’s job is to manage the organization’s data strategically and create market revenue from what may be the company’s most important commodity.

Chief data officers are business-oriented and have comprehensive IT experience. If you want to work as a statistician, you’ll need specific credentials like math and accounting, as well as an advanced master’s degree and business experience.