Data Science: Degrees, Related Programs & Exciting Careers
Discover Data Science is all about making connections between prospective students and educational opportunities in an exciting new, hot, and growing field – data science.
From data science bootcamps and certificate programs to bachelor’s and data driven MBA programs to a Ph.D. in Data Science, to on campus master’s in data science programs or online master’s in data science, programs are growing in popularity and data science professionals in demand.
Moreover, the ability to access and process good data streams are opening new opportunities across a wider range of career options and industries.
What is Data Science?
It’s hard to come up with a precise definition of what a data scientist is because the raw information that data scientist work with comes in various forms and has many applications. But, at its core, data science is about using traditional scientific methods, like computation, statistics, and mathematics in an interdisciplinary way to help inform, recommend, and advise based on real trends, behaviors, and analytics.
From better dating apps to curing cancer, the ability to access and process good data streams are opening new opportunities across a wide range of career options.
What is a Data Scientist?
A data scientist might be a number-cruncher, a trend observer, or a pattern finder.
Part mathematician, part computer scientist, and part business strategist, data scientists must have expertise in several different disciplines at once.
Data scientists work in all kinds of roles from large corporations to lean startups. Data scientists might help policy makers develop better decisions, or they might work in finance or healthcare.
Data scientists are technically proficient and often use a number of computer code languages to compile and synthesize data. A background in advanced statistics and intermediate to advanced levels of programming skill are required.
Depending on the field, data scientists also have to be creative to interpret and visualize data expressions.
Still have more questions? Read Top 5 Reasons to Become a Data Scientist
Related Degree Programs
Still undecided if a data science degree is the right fit for you? Don’t worry! We have extensive guides covering related degree programs that might better match your skills and career goals. A few more popular guides covering closely related degrees include:
- Master’s in Business Analytics
- Master’s in Data Analytics
- Master’s in Information Systems
- Ph.D. in Information Systems
- Sports Analytics Programs
Related Programs Online
Similarly, perhaps you are interested in exploring related programs where instruction is offered 100% online. We have a collection of guides covering related online programs with comprehensive schools listings:
- Online Master’s in Business Analytics
- Online Master’s in Data Analytics
- Online Master’s in Information Systems
- Online Master’s in Health Informatics
5 Great Reasons Why You Should Consider a Degree in Data Science
- Job security: The future digital economy will be built by data. According to Glassdoor, Data Scientist is the number one job on its website. According to IBM, an increment by 364,000 to 2,720,000 openings will be generated in the year 2021. This demand will only grow further to an astonishing 700,000 openings.
- Career mobility: Besides the projected hiring needs, data scientists will also find opportunities to move up to leadership positions, or find their skills in demand in across a number of different industries.
- Technical toolbox: Data science, data engineering, business analytics and intelligence are all jobs that require a technical background. Those skills demand higher wages and are prone to more career opportunity. Technical skills can also be leveraged and prepare students for more traditional careers, such as teaching, law, or medicine.
- Future proof: Data scientists enrolled in undergraduate and graduate programs are preparing for exciting opportunities that are not even well-defined yet. By preparing today they will get to build the future and become leaders in their fields tomorrow.
- Big earnings: Last, but not least, according to Payscale.com (2021), a data scientist’s salary range is $64,000 – $134,000 with a median salary of $96,106.*
For practically all industries, data scientist positions are expanding with new roles being created every day.
Choosing the Right Data Science Program
Not all data science programs are created equal. A number of factors contribute to finding the right educational fit. The good news is that there are plenty of good options.
Everyday, new data science bootcamps, certifications, undergraduate, and graduate programs are launching.
What to Look For in a Data Science Program
1. Type of program: Data science programs range from weeks-long bootcamps to years-long Ph.D. programs. Bachelor Degrees and certificate programs for post-baccalaureate students are also becoming more common. Explore data science programs by degree level.
2. Accreditation: Finding out if an institution meets minimum standards is important while investigating different data science programs. Transferring credits is one of the biggest reasons why accreditation is significant.
3. Admission requirements: Many master’s programs require a GRE or GMAT score, in addition to transcripts, letters of recommendations, and personal statements. To learn more about the process of taking the GRE, check out this GRE Prep Guide.
4. Job placement/career services help: Having job prospects after completion of the degree is very important. Check to see if the school provides assistance with career placement.
5. Online versus campus: There are pros and cons for each method. Keep reading below for a breakdown.
Prerequisites and Skills Needed to Pursue a Degree Program in Data Science
Each degree or program requires different prerequisites or skills. Some knowledge in the following areas is important:
- Courses: statistics, computer science, linear algebra, and calculus.
- Skills: Computer programming proficiency and experience in one of the following: SQL, Python, R, or Hadoop.
Also check out, Data Science vs. Statistics
Online vs Campus vs Hybrid?
Universities and students are both finding a lot of benefit from new online course platforms. Flexibility and cost are big factors. For students, data science online courses might be less disruptive to other commitments.
Increasingly, online education programs fit into two categories: online and hybrid. It’s important to note that online programs might still require students to visit campus up to two times during the program.
Hybrid programs offer a combination of online and campus instruction (in this case requiring a physical meeting more than two times). Many programs will require the student to attend certain classes or seminars during the program for completion.
Remember to double-check and verify all the requirements of online and hybrid data science courses. The specific program structure is likely to vary from school to school.
Industries that Use Data Science
Data scientists are highly sought after across a variety of industries. Industries that use data science include:
- Business and finance: Data Scientists help analyze day-to-day transaction information as well as track inventory, monitor in-store traffic and optimize high frequency trading.
- Ecommerce: Data scientists retarget campaigns, predict modeling and help interpret data generated from websites, all of which improve products and increase sales.
- Healthcare and Health informatics: Data scientists help physicians and hospital administrators effectively track drug trials, map human DNA, monitor patients remotely and predict the spread of disease.
- Science: Data scientists have more information than ever before, and they’re scrubbing, sorting and synthesizing it at a rapid pace. Nearly every field of science — genetics, biotechnology, particle physics, climatology, and chemistry – relies on large data sets and its analysis to advance its complex research.
- Social networking: Online behavior is a goldmine for data scientists. Working with data generated from social networking sites, data scientists target advertising by location or personal preferences, and improve customer service.
Careers in Data Science
Data science programs are helping students train for the careers and opportunities of tomorrow. It’s likely that there will be even more opportunities as data becomes more and more integrated in business intelligence, analytics, and decision-making.
Right now, there are many different professions open to a professional with a background in data. A data analyst takes data and uses it to help companies make better business decisions. A data scientist uses data analysis, explore and anticipate which problems and might recommend ways to solve them.
While a data scientist works with information to find patterns and observe behavior, a data engineer is often responsible for building the infrastructure that can capture, store, and access data. Big data requires processing power and massive computational capabilities. The trend towards gathering and synthesizing data will only continue, and data engineers will build the technology needed to make data a useful tool.
Where to Study Data Science Near You
While many students are now pursuing a data science degree online, there are benefits to attending a nearby school if that is an option. We have a page for all 50 states outlining the local options in data science as well as highlighting notable employers and trends specific to each state.
Your Next Steps into Data Science
Discover Data Science is designed to help narrow down your search for the right data science or related degrees at the college or university of choice best suited for your career goals. Go ahead and dig into the various data science, business and data analytics degree programs to continue your journey into the amazing world of data.
Also, spend a few minutes to Journey through Data Science with the Data Professor
