10 Exciting Career Paths a Master’s in Data Science Opens

In the business world, data is the most important thing that drives success. Companies need data on everything from customer behavior to budgets and expenses to make informed decisions as they move forward with their work. Data scientists are those professionals who are trained to collect and analyze data to help organizations find success. These professionals are in high demand, not just in the business world, but also in the finance, automation, and science worlds. A job in data science also bring a high rate of pay, and GlassDoor indicates it is the #2 Job in America for 2021.

Is data science right for you? The answer depends on what you’re looking to do with your career. If you love data and tech, there are many opportunities available to you with a degree in data science, and a graduate degree can open the door to some high-paying opportunities. Here are 10 of the best worth considering.

10 Roles You Can Land with a Master’s in Data Science

The data science world has a number of jobs, but those looking to move past the entry-level positions may wish to consider additional training. With a master’s degree in data science, you could land a role in one of these exciting industries.

1. Enterprise Architect

An enterprise architect is similar in function to an applications architect. These professionals are in high demand, and they help create tech solutions that connect the company’s overall strategy with the technology needed to achieve specific objectives. These professionals must understand the businesses they work with well, while also having a rich understanding of the data technology that they can use to meet their objectives. This career field has an average salary of $145,422 according to GlassDoor, making it one of the higher paid options available to those with a master’s in data science.

2. Machine Learning Engineer

Machine learning engineers develop computing systems that can increase in performance efficiency and effectiveness as they acquire more data. They can work on a variety of applications, from smart thermostats and watches to autonomous vehicles, movie recommendation systems, and many others. To do their job, they require extensive knowledge of machine learning techniques, coding experience, and artificial intelligence (AI), which a master’s degree in data science provides. With over 50 percent of businesses expecting to adopt AI and machine learning within the next three to five years, the demand for these professionals is high. The BLS does not have a salary estimate for machine learning engineers, but they fulfill a similar role as computer and information research scientists, which the BLS estimates earn an average salary of $126,830 a year.

3. Applications Architect

Applications within a business are the interfaces and infrastructures the business uses to maximize its use of technology. An applications architect will design and maintain these systems, ensuring all of the components are working together as they should. According to GlassDoor, these professionals earn an average of $124,189 a year.

4. Data Engineer

Data engineers are those professionals that can set up infrastructure to manage and analyze data. These individuals must understand statistics as well as machine learning, and a master’s in data science will cover both. Because the role of the data engineer is that of creating infrastructures and programs, this is slightly different from the role of the data scientist, who focuses primarily on analyzing and using the data. GlassDoor estimates the average salary for this in-demand career field to be $110,662 a year.

5. Data Scientists

Today’s scientists rely on data to succeed. They need to look at data to find patterns and draw conclusions, and they need trained professionals to do this. Data scientists are those professionals. They go beyond the role of data analysts and provide a more technical approach to the data and how to use it to make decisions. According to the BLS, the average wage for data scientists and mathematical science jobs in 2018 was $98,230. Those who worked directly with companies and enterprises earned $107,980 on average.

6. Bioinformaticist

A Bioinformaticist combines knowledge of biology with data science to analyze and organize data relating to biologic experiments and reports. These professionals are often employed by science labs and pharmaceutical or medical companies to help analyze the data from experiments and clinical trials. They earn an average salary of $103,575 a year, according to GlassDoor.

7. Statistician

The statistician’s job is all about data. These professionals collect it, but they also analyze and interpret it. By identifying trends and relationships, statisticians can help organizations make informed decisions. These professionals may also design the programs that collect data, so organizations are kept up to date with the latest statistics to fuel their decision-making processes. The BLS estimates that statisticians and mathematicians earn an average of $93,290 a year, and this job has a 33% expected growth, which means these professionals are in extremely high demand.

8. Information Officer

The information officer manages, maintains, and organizes databases and digital resources for an organization. With a background in data science, these professionals can keep sensitive data protected while also ensuring those who need it can access it easily. This valued position earns an average of $92,307 a year according to GlassDoor.

9. Business Intelligence Developer

Smart businesses know how to use data to run their operations well. A business intelligence developer develops the query tools, interactive dashboards, reporting programs, and data visualization techniques businesses use to understand the data they collect. These professionals need to be quite tech-savvy, as they will be developing tech for their organizations. GlassDoor estimates the salary for this role to be $92,062.

10. Data Analyst

This role doesn’t always require a master’s degree, but a master’s degree can open the door to higher-paying options. These individuals track and manipulate data to help companies analyze it more effectively. They perform A/B testing on websites and other web-based programs to ensure the company uses the most effective marketing techniques. The average pay for this role, according to GlassDoor, is $67,552 a year.

Start Your Data Science Training Today!

Is a master’s degree in data science worth it? Looking at the salary outlook and demand for these top career options, the answer is a clear yes. This is a career path with high income-earning potential and a host of employment possibilities. If you are ready to get started, Lewis University has a master’s in Data Science that is worth considering. It explores not only data, but also the tech that drives the data science field, so you will be well-prepared for a role in this in-demand industry. Reach out to our admissions team today to learn more about how you can

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