Asset 20 8 2
Does AI recommend your business? Run the free check →

Join 15,000 business owners, marketers and entrepreneurs. The Sunday newsletter you'll be annoyed only arrives once a week.

Article

How to Become a Data Scientist: Degrees, Skills and Pay

To become a data scientist, you'll usually need at least a bachelor's degree in maths, statistics, computer science or a related field, plus programming and statistics skills. Some US employers want a master's or doctorate. In the UK you can also get in through a Data Scientist Level 6 Degree Apprenticeship or a master's conversion course after a different degree.

Data scientists use statistics, programming and machine learning to find patterns in data and help organisations make decisions. BLS projects it to grow much faster than the average for all occupations. Here's how to get in, what it pays and where the best-paid roles are, using the US Bureau of Labor Statistics (BLS) handbook and the UK National Careers Service, both read in October 2026.

Data science entry routes compared

US (BLS)UK (National Careers Service)
Typical entryBachelor's degree, sometimes a master's or doctorateDegree or postgraduate qualification
Common subjectsMathematics, statistics, computer science, business, engineeringMaths, statistics, data science, computer science, operational research
No-degree or career-change routeNot describedDegree apprenticeships, a master's conversion course or the Civil Service Fast Stream
ExperienceSome employers want industry experienceAn internship or placement gives you an advantage

The American path: degree first

  1. Start with the maths. BLS suggests linear algebra, calculus, and probability and statistics in high school.
  2. Earn a relevant degree. Mathematics, statistics and computer science are the most common, with business and engineering also listed.
  3. Learn the tools. At college level BLS says you'll need data-oriented programming languages plus statistical, database and presentation software.
  4. Pick up industry knowledge. Some employers want sector experience. BLS gives the example of asset management firms wanting finance experience or coursework in investments or banking.
  5. Consider a master's. Some employers require or prefer a master's or doctoral degree, especially for more advanced roles.

British routes, including apprenticeships

The National Careers Service lists four routes:

  • University: a degree or postgraduate qualification in maths, statistics, data science, computer science or operational research. Physics, engineering or psychology can help too, because they include a lot of statistics.
  • Conversion course: graduates of other subjects can take a postgraduate master's conversion course into AI and data science.
  • Apprenticeship: options include the Data Engineer Level 5 Higher Apprenticeship, the Data Scientist Level 6 Degree Apprenticeship and the Artificial Intelligence (AI) Data Specialist Level 7 Professional Apprenticeship. These can take 2 to 3 years.
  • Civil Service Fast Stream: you can apply to work in data if you have a degree, a postgraduate award or a completed degree apprenticeship.

You can also apply directly if you already have the right data skills, with roles in the NHS, financial and professional services firms, IT companies, retailers and government departments.

Data scientist salary by employer

As of October 2026, BLS gives a median annual wage of $120,230 for data scientists in May 2025, more than double the $50,980 median for all occupations. The lowest 10% earned less than $67,240 and the highest 10% more than $199,130.

Where you work makes a big difference:

Employer type (US, May 2025)Share of jobs (%)Median annual wage
Publishing, broadcasting and content providers12$142,240
Computer systems design and related services10$132,380
Credit intermediation and related activities6$129,490
Management of companies and enterprises10$128,050
Insurance carriers and related activities10$108,650

The catch here is that insurance is one of the biggest employers but pays the least of the top industries listed, well below publishing and content providers. If you're choosing where to specialise, that gap is worth knowing about.

Job outlook

BLS projects data scientist jobs to grow 35% from 2025 to 2035, from 275,600 to 371,000, with about 24,800 openings a year. It links the growth to more demand for data-driven decisions and to businesses building AI into how they work.

That AI link is the part I'd watch. If businesses are building AI into their work, knowing how to use AI tools well becomes part of the job. My guide to the best AI tools for data scientists covers the ones worth learning, and if you're weighing up where to work, see how remote data science jobs differ from office roles.

Day to day in a data team

BLS says data scientists typically work in an office and most work full time. The UK National Careers Service adds that you'll find roles across the NHS, finance, IT, retail and government, so the same skills can take you into very different sectors. That's useful if you're not sure yet which industry you want, because you can move between them once you've got experience.

Work with me

Want AI doing the heavy lifting in your marketing?

I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.

Don't underestimate the communication side. Your analysis only matters if the people making decisions understand it, so being able to explain a finding in plain English, with a clear chart, is as much part of the job as writing the code.

The toolkit employers look for

  • statistics and probability
  • programming in a data-oriented language
  • working with databases
  • presenting findings clearly to people who aren't data specialists
  • knowledge of the industry you work in

My verdict

The degree is still the main door into data science in the US, and a master's helps for senior roles. In the UK the apprenticeship and conversion-course routes make it more open. Wherever you are, build a portfolio of real projects, learn the AI tools that are changing the work, and think about which industry you want, because it can change your pay by tens of thousands.

Weather forecasting is one place where data skills are put to use, and the meteorologist guide explains the career.

Frequently asked questions

Do you need a degree to be a data scientist?

In the US, BLS says you typically need at least a bachelor's degree. In the UK, the National Careers Service lists degree apprenticeships, such as the Data Scientist Level 6 Degree Apprenticeship, as another route.

Can I become a data scientist with a different degree?

Yes. In the UK, graduates of other subjects can take a postgraduate master's conversion course into AI and data science, according to the National Careers Service.

How much do data scientists make?

As of October 2026, BLS gives a median annual wage of $120,230 for data scientists in May 2025, with the highest 10% earning more than $199,130.

Is data science a growing field?

Yes. BLS projects 35% job growth from 2025 to 2035, with about 24,800 openings a year.

How long is a data science apprenticeship?

The National Careers Service says the data apprenticeships it lists can take between 2 and 3 years to complete.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
Your buyers are asking AI who to use. Does it say you?

See for free whether ChatGPT, Claude, Perplexity, Gemini and Google name you, and get the plan to become the answer.

Check my AI visibility →
Sundays only

Get the Sunday newsletter.

One email a week. AI experiments, marketing tactics, and the workflows Lilach is building right now in her own business.

Subscribe free

Let’s get your marketing running on AI.

Book a free 30-minute call

We figure out what you need, where AI fits in, and what working together would look like.

Book the call →

Or take the 30-second calculator

You’ll see the hours and the money quietly leaking out of your week, and the three workflows worth building first.

Take the calculator →

Or grab the free AI resource library

Prompt packs, templates, checklists, and swipe files. The exact tools I build for paying clients. Yours, free.

Get the library →
Keep reading

More from the blog.