MSc Applied Data Science (2022)

  • Summary

  • Content

  • Study mode

  • Fees/funding

  • Career

  • Apply

What is special about this course?

Are you interested in making an impactful and effective contribution to business through data science? If so, this new MSc Applied Data Sciencewill allow you to develop your skills and knowledge in data analytics techniques and evaluate their relevance and validity.

You will learn key data science skills using freely available software. Core subjects will cover fundamental theories, ethical considerations and industry-standard techniques, while optional modules will allow you to focus on specific applications.

The range of options include business, computational, and environmental themes. As part of the environmental options, you will gain experience with GIS software and spatial analysis, while in the business-themed options the focus is on business decisions and company culture – can you help it move toward data-driven decision-making? The computational theme has an emphasis on data engineering and machine learning.

The part-time course is delivered online, allowing you the flexibility to fit your studies around your personal and professional commitments. The full-time course is delivered on campus at UHI Inverness. Whether you prefer to study part-time or full-time, you can tailor your option choices to suit your specific areas of interest

This course may also be of interest to companies wishing to use it as continuing professional development for their employees.

Further information on the course, including more detail about the individual modules, can be found in the student handbooks, which are frequently updated. Please see the course handbook for more information.

Special features

  • Flexible optional themes (business, computational and environmental)
  • Learn to apply a wide range of data analytics techniques and evaluate their relevance and validity
  • Make an immediate and effective contribution to an organisation through data science
  • Study current ethical issues in data science and their application to an organisation

Entry requirements

  • 2:2 honours degree or above in a numerate subject, or in any other subject with relevant work experience
  • Applicants with an ordinary degree or equivalent qualification plus relevant work experience, at a suitable level and for an appropriate length of time, will be considered on an individual basis
  • Qualifications from an approved professional body will also be taken into account

*Funding support notice*

(Video) MSc Applied Data Science

We have a number of funded spaces available through The Data Lab MSc programme, including funding by the Scottish Funding Council. These scholarships are available for students who have received an unconditional offer for the MSc and meet the Scottish Government’s Residency conditions. Please refer to for clarification. EU students with settled or pre-settled status may be eligible.
If you are interested in applying for one of the funded places, or have any questions, please contact: For any further information please visit The Data Lab.


Core modules are:

  • Ethics and data science
  • Introduction to R and data visualisation
  • Statistics 1


You will study the following core module:

  • Statistics 2

You will also choose one module from the first semester list:

  • Businessoption -Success and culture: the importance of organisational culture
  • Computationaloption -Data analytics on the web
  • Environmentaloption -Applications of GIS

And one module from the second semester list:

  • Businessoption -Information decision making
  • Computationaloption -Data modelling on the web
  • Environmental option -Advanced GIS and remote sharing


To achieve the award of MSc Applied Data Science, you must successfully complete a research dissertation.

How will I study my course?

  • Full-time
  • Part-time (structured)
  • Part-time (unstructured)
  • You will learn through a combination of video conference lectures and tutorials, and online study via the university's virtual learning environment (VLE), with support from your tutors
  • Full-time students will also receive face-to-face teaching
  • Part-time students will conduct all studies online, although teaching staff are also available on campus to help with any queries

How long will my course last?

  • Full-time: 1 year @ 40 hours per week
  • Part-time: (structured) 3 years @ 20 hours per week
  • Part-time: (unstructured) up to 10 years

Number of hours per week indicates the total number of hours you should dedicate to the course, which includes time spent in lectures and your own time spent on individual study and research.

(Video) Why study an MSc in Applied Data Science?

Where can I study my course?

  • Inverness - part-time students will be registered at UHI Inverness but all studies will be online

Start date

  • September
  • January


For students normally domiciled in Scotland, with a term-time address in Scotland, the following fees apply:

This includes

  • EU nationals with settled or pre-settled status in the UK,
  • EEA/Swiss nationals with settled status in the UK
  • EEA/Swiss nationals with pre-settled status who are self-employed or migrant workers in the UK.
Per module (20 credits)£560£560
Postgraduate certificate (3 modules, 60 credits)£1,680£1,680
Postgraduate diploma (6 modules, 120 credits)£3,360£3,360
Masters degree (6 modules + dissertation)£5,000£5,000

Rest of UK students

For students normally domiciled in the rest of the UK (England, Wales and N. Ireland, including Channel Islands and the Isle of Man), studying this course on-campus or online from their home, the following fees apply:

(Video) Data Science vs Applied Data Science at Teesside University


Per module (20 credits)£650£669
Postgraduate certificate (3 modules, 60 credits)£1,950£2,007
Postgraduate diploma (6 modules, 120 credits)£3,900£4,014
Masters degree (6 modules + dissertation)£5,850£6,021

EU/EEA and Swiss nationals without settled or pre-settled status in the UK

Following the UK’s departure from the European Union, the Scottish Government confirmed that EU/EEA and Swiss nationals, who do not have settled or pre-settled status, will be considered as international for fee purposes. For 2022-23, students will get an automatic fee scholarship.

This includes EEA/Swiss nationals with pre-settled status who are not self-employed or migrant workers in the UK.

2022-23On-campus study (term-time address in Scotland)With scholarshipOnline study (from home country)With scholarship
Per module (20 credits)£1,492£1,120£1,010£760
Postgraduate certificate (3 modules, 60 credits)£4,476£3,360£3,030£2,280
Postgraduate diploma (6 modules, 120 credits, 180 credits)£8,952£6,720£6,060£4,560
Masters degree (6 modules + dissertation, 180 credits)£13,428£10,080£9,090£6,840

International students

For students who do not normally reside in the UK or European Union, studying on-campus or online, the following fees apply:

On-campus study (term-time address in Scotland)Online study (from home country)
Per module (20 credits)£1,420£1,492£980£1,010
Postgraduate certificate (3 modules, 60 credits)£4,260£4,476£2940£3,030
Postgraduate diploma (6 modules, 120 credits, 180 credits)£8,520£8,952£5,880£6,060
Masters degree (6 modules + dissertation, 180 credits)£12,780£13,428£8,820£9,090

Fees are payable in advance each academic year unless otherwise agreed.

A no fee increase guarantee is available for self-funding full-time and structured part-time rest of the UK, EU and international postgraduate students for continuous study for the same award, up to the permitted standard time limit for the relevant award.


Eligible Scotland-domiciled students studying full-time can access loans up to £10,000 from the Student Awards Agency for Scotland (SAAS). This comprises a tuition fee loan up to £5,500 and a non-income assessed living cost loan of £4,500.

Eligible Scotland-domiciled students studying part-time can apply for a tuition fee loan from SAAS. You must be intending to complete the course in no longer than twice the length of time it would take for a full-time student. For example, if your course is available to full-time students as a one-year programme, you will be funded for a maximum of two years' part-time study. If your course does not have a full-time option, you must complete within three years. You can apply for a tuition fee loan up to £5,500, which will be paid pro-rata for each academic year of study.

Full details can be found on the SAAS website. Applications for loans open in April.

(Video) Discover MSc Applied Data Science and Statistics at the University of Exeter

Students from the rest of the UK who meet the eligibility requirements may be able to apply for a loan from the Student Loan Company.

Data Lab funded spaces

We have a number of funded spaces available through The Data Lab MSc programme, including funding by the Scottish Funding Council. These scholarships are available for students who have received an unconditional offer for the MSc and meet the Scottish Government’s Residency conditions. Please refer to for clarification. EU students with settled or pre-settled status may be eligible.

If you are interested in applying for one of the funded places, or have any questions, please contact: For any further information please visit The Data Lab.

If you are an international applicant, you can find further information at our international section.

What can I do on completion of my course?

On successful completion of the course you will be well suited for any role with a strong emphasis on data analysis or data science. You might also like to take dualroles within a business, marrying your underlying subject knowledge with your data science skills.

Can I progress into further study?

You may progress on to any data focussed MRes or PhD project that also makes use of your underlying subject knowledge gained through experience or undergraduate qualifications.

(Video) Master of Applied Data Science

Is there more information available online?

MSc Applied Data Science (1)

You can use the above QR code to connect directly to the course details.


Is Masters in Applied data science worth it? ›

If you want a high-paying, dynamic job in an in-demand and rapidly growing field, data science may be worth looking into. According to the U.S. Bureau of Labor Statistics, the job outlook for data scientists is projected to grow 22% from 2020 to 2030, much faster than the average for all occupations.

Why choose MSc applied data science? ›

MSc Applied Data Science

Progressing from almost any first degree discipline, you gain leading-edge skills, solid programming experience, research expertise and optional industry experience to enter this field and rapidly expanding job market.

Which is better applied data science or data science? ›

Both are expected to deal with complex advanced analytics, Machine Learning, Python etc.; however the Applied Data Scientists will always have the practical applicability in mind whereas the Research Data Scientists will go deeper into the problem.

Is Applied Statistics good for data science? ›

Data science aims to make accurate predictions of future behaviors and patterns in a given market or industry. Applied statistics is still crucial to solving many real-world problems and drawing essential conclusions for businesses and organizations.

How tough is MS in data science? ›

Completing a Master's Degree in data science might be difficult. It may be more difficult if you are making a shift from Art/Philosophy to science. Especially if you don't have a Math or Statistics background. Graduates in Computer Science, Maths, and Statistics, on the other hand, may find it easier.

Can you get a data science job without a Masters? ›

The overwhelming consensus from industry professionals is that a bachelor's or even master's degree can be useful—there's no helping that some hiring managers are biased in favor of those who hold degrees—but it's by no means necessary in order to have a successful career as a data scientist.

What is MSC applied data science? ›

This degree prepares you to solve real cases. through the application of data technologies that will equip you. with a hands-on skill-set in the professional world. The internship in the program helps you with the right exposure, training and mentorship needed to kick-start a fruitful career.

What is applied data science all about? ›

Applied Data Science specialises in information retrieval, data recovery and further in-depth study of statistics. The Master's programme has a practical profile, where after specialisation in statistics and computer science you use algorithms on real data sets.

What is Applied data science course? ›

This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization.

Which is better statistics or applied statistics? ›

Pure statistics focuses primarily on the numbers, math, and problems themselves. Applied statistics on the other hand, can be thought of as “statistics-in-action” or using statistics with an eye toward real-world problems and what their solutions might be. Statistics alone can be used pragmatically.

Is data science applied for mathematics? ›

Data Science continues to be a growing area of study within applied mathematics and the sciences in general. It incorporates statistical modeling, machine learning, artificial intelligence, and optimization, among other aspects of applied mathematics.

How do you become an applied data scientist? ›

There are three general steps to becoming a data scientist: Earn a bachelor's degree in IT, computer science, math, business, or another related field; Earn a master's degree in data or related field; Gain experience in the field you intend to work in (ex: healthcare, physics, business).

Which is better MSC statistics or MSC data science? ›

The master's in data science prepares students to make accurate predictions and decisions based on the validity of acquired data, whereas the master's in statistics teaches students to comprehend data correlations and associations through the application of statistical theorems.

Where can I work with a degree in Applied Statistics? ›

Jobs in the field of applied statistics and data science include:
  • Business analyst or data analyst.
  • Research scientist.
  • Statistical programmer.
  • Quality assurance analyst.
  • Machine learning engineer.
  • Statistical researcher.

Who Earns More statistician or data scientist? ›

But If we talk about average salary for all data scientists, then this is what they get. While the the average salary for a Statistician is Rs 368,671 per year. Most people move on to other jobs if they have more than 20 years' experience in this field. A skill in SAS is associated with high pay for this job.

Is Masters in data science easy? ›

To succeed as a data scientist, you need skills from several disciplines, including mathematics, statistics, and computer science. In my opinion, it is difficult for a data science masters degree to adequately teach skills from all of these fields in enough depth.

Can an average student become data scientist? ›

3. Can an average student become a data scientist? Answer: You certainly can. You may become a Data Scientist or Data Analyst if you are enthusiastic about numbers, have a strong grasp of statistics, and are eager to master new analytics technologies.

Does Masters in data science require coding? ›

Yes! While data science does involve coding, it does not require extensive knowledge of software engineering or advanced programming.

What percentage of data scientists have a masters? ›

One survey from Burtch Works Executive Recruiting even suggests as many as 88 percent of data scientists have at least a master's degree.

Which degree is best for data scientist? ›

Pursue an undergraduate degree in data science or a closely related field. You will need at least a bachelor's degree in data science or computer-related field to get your foot in the door as an entry level data scientist, although most data science careers will require a master's degree open_in_new.

Can I be a data scientist without math? ›

Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important.

How is University of Exeter for data science? ›

Exeter is one of the only universities with a course that lets me combine my interests and passion in all areas, such as statistics and machine learning. Already during my first two months I've touched upon mathematics and the basics of programming. It's really exciting and will open doors to a huge range of careers.

What do you do in data analytics? ›

A data analyst reviews data to identify key insights into a business's customers and ways the data can be used to solve problems. They also communicate this information to company leadership and other stakeholders.

What is computer data analysis? ›

Data analytics (DA) is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.

What's the difference between data science and applied statistics? ›

in Data Science graduates students who can make predictions and sound decisions based on the validity of collected data, whereas a Master's in Applied Statistics teaches students to understand data relationships and associations by testing statistical theorems.

What is the salary of data and applied scientist Microsoft? ›

The typical Microsoft Data and Applied Scientist salary is ₹17,75,000 per year. Data and Applied Scientist salaries at Microsoft can range from ₹13,55,305 - ₹26,00,000 per year.

What is applied data programming? ›

Course Description

The course introduces business analytics programming based on, for example, Python. It teaches how to retrieve and manipulate databases, text files, and other data stores. It covers basic statistics, simple analytics, and Python libraries.

What is applied course? ›

An Applied Course covers the essential concepts of a subject. Knowledge and skills will be developed through both theory and practical applications, but the focus will be on practical applications.

How is applied AI machine learning? ›

Applied AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the software to learn automatically from patterns or features in the data.

How difficult is applied statistics? ›

Statistics has gotten a reputation for being a very hard class, especially when taken in college, because it combines math concepts in order to form an analysis of a data set that can be used to understand an association in the data (whoo that was a mouthful).

Is applied statistics a good degree? ›

As the top-ranked job in U.S. News & World Report's “Best Business Jobs” category, statisticians are in high demand—and the Master of Science in Applied Statistics and Analytics is regarded as one of the most versatile degrees a school can offer.

Is applied statistics a marketable course? ›

Applied Statistics with IT/Statistics

A statistics graduate can work as an accountant, financial analyst, investment analyst, monitoring and evaluation officer, project manager, statistician, actuary, policy analyst, economist and many more.

Can I become a data scientist with applied math degree? ›

A lot of students have questions like these, and the short answer is that, yes, an applied math degree is a suitable area of study for becoming a data scientist.

Is a data scientist just a statistician? ›

No. They are both important roles. If you want to focus on significance, testing, experimental design, normality distribution, and diagnostic plotting, then become a Statistician. If you want to practice more software-engineering like coding and automation of machine learning models, then become a Data Scientist.

Is data science just statistics? ›

Both Data Scientists and Statisticians ingest data and extract information. Some would argue that there are differences in terms of their usage. However, when data science and statistics are used together they form a powerful partnership.

Can I become a data scientist with no experience? ›

To learn and get into accurate learning of skills enrolling in a data science course is the best way. There's no need to worry as any interested person can thus become a data scientist without any experience.

Is data scientist a stressful job? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

Does data science require coding? ›

You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.

Is UC Berkeley data science Masters worth it? ›

In the U.S., 2021 graduates from Berkeley's master of information and data science (MIDS) program earned an average annual salary of more than $155,000, according to data provided by the school. The program is ranked No. 2 among the best online master's in data science degree programs in 2022 by Fortune.

Is an online masters in data science worth it? ›

An online masters in data science is not worth it—skills and experience matter more than degrees. You can learn the same skills by self-teaching through online courses on Coursera, EdX, Udemy, etc. So it's not necessary to spend time and money on an online master's in data science.

Is Masters in data science worth it in UK? ›

High Demand- UK has a high demand for Data Science graduates. This is one of the many reasons why a Data Science course UK is a preferred choice among international students. Employment Opportunities- Students with a Masters degree in Data Science have a 96% employment rate.

Is it worth spending two years to learn data science? ›

You may have to do the same thing with same tools over several years. Long story short, I definitely think that it is worth spending “two years” to learn data science. In fact, the learning does not stop after two years. It is rather a continuous process for data scientists.

Should I study computer science or data science? ›

“If you like to build new things, then I would recommend computer science, but if you like to analyze, study and reach conclusions based on data that is generated in real time, then data science is for you,” Renella says.

Is data science a competitive major? ›

That's a lot of money, which is why you may be considering enrolling in a bachelor's program in data science. But you may be wondering, too, if data science is too hard a major. Data science is a competitive field, which is why recruiters and employers are looking for the best candidates only.

Is data a stem science? ›

Is the Data Science M.S. considered a STEM program? Yes, this program is listed as a STEM program, with a CIP code of 11.0401.

Is it easy to get a job with a data science degree? ›

Becoming a data scientist takes a lot of hard work, dedication, and learning. However, you have many education options, such as coding bootcamps, online courses, and degree programs, to help you. If you want a profession with job security, career development, and flexible learning pathways, choose data science.

Is Masters in data science worth it in 2022? ›

You should definitely take a post-graduation course in Data Science to advance your career! Data science is a field worth exploring when you want an active job that is in demand and pays well.

How do I become a certified data scientist? ›

Once you earn both the Big Data Professional and Advance Analytics Professional certifications, you can qualify to earn your SAS Certified Data Scientist designation. You'll need to complete all 18 courses and pass the five exams between the two separate certifications.

Which country is best for data science? ›

Best Country for Data Science Job
  • United States. Data scientists in the US are paid handsome salaries amounting to USD 165,000 on average per year. ...
  • Switzerland. In Switzerland, data scientists earn an average salary of USD140,000 annually. ...
  • UK. ...
  • Australia. ...
  • Israel. ...
  • China. ...
  • Canada. ...
  • India.
13 Jul 2022

Which country is best for masters in data science? ›

  • United States. Some of the best universities to study data science in the world are located in the United States. ...
  • United Kingdom. Students can specialize in data science right from the beginning. ...
  • Germany. Germany is the world's automation capital. ...
  • Australia. ...
  • Canada. ...
  • Norway. ...
  • Switzerland. ...
  • Denmark.
15 Feb 2022

What is the best MSc data science in UK? ›

Top Five UK Universities for Data Science 2023
  1. University of Warwick. ...
  2. London School of Economics. ...
  3. Imperial College London. ...
  4. University of Edinburgh. ...
  5. University of Liverpool.
12 Sept 2022

Is there a lot of math in data science? ›

When you Google for the math requirements for data science, the three topics that consistently come up are calculus, linear algebra, and statistics. The good news is that — for most data science positions — the only kind of math you need to become intimately familiar with is statistics.

Can I do data science without maths? ›

Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important.

What kind of math is used in data science? ›

Calculus. Calculus is utilised in machine learning to formulate the functions used to train algorithms to reach their objective, known by loss/cost/objective functions. Khan Academy Calculus series (beginner-friendly). 3Blue1Brown Calculus series.


1. MSc Applied Data Science and Statistics
(University of Exeter)
2. Discover MSc Applied Data Science and Modelling at the University of Exeter
(University of Exeter)
3. Discover MSc Applied Data Science (Environment and Sustainability) at the University of Exeter
(University of Exeter)
4. Study our MSc Applied Social Data Science
(University of Exeter)
5. Discover MSc Applied Data Science Ecology and Evolution at the University of Exeter
(University of Exeter)
6. MIT Applied Data Science Program
(MIT Professional Education)

Top Articles

You might also like

Latest Posts

Article information

Author: The Hon. Margery Christiansen

Last Updated: 11/10/2022

Views: 5725

Rating: 5 / 5 (50 voted)

Reviews: 89% of readers found this page helpful

Author information

Name: The Hon. Margery Christiansen

Birthday: 2000-07-07

Address: 5050 Breitenberg Knoll, New Robert, MI 45409

Phone: +2556892639372

Job: Investor Mining Engineer

Hobby: Sketching, Cosplaying, Glassblowing, Genealogy, Crocheting, Archery, Skateboarding

Introduction: My name is The Hon. Margery Christiansen, I am a bright, adorable, precious, inexpensive, gorgeous, comfortable, happy person who loves writing and wants to share my knowledge and understanding with you.