Data Analytics

Top 12 Data Analytics Courses in the UK With Placements

The UK has a high demand for data science graduates. Here, one of the most in-demand professions is data science. They provide a variety of curricula and solid job placement options. More data specialists are needed in tech professions and those who can use their expertise in non-tech fields like healthcare and retail. The rise in demand for data science, data analysis, and data engineering skills in the labor market indirectly attracts you to opt for data analytics courses in the UK.


This is only one of the numerous factors that make UK data science programs popular with overseas students. The employment possibilities of students with a master’s in data science have a 96% employment rate.


Why Do You Care About Data Analytics as a Department for Your Business?

Data analytics is the science of looking at raw data and making conclusions about it. Many techniques and steps that were formerly used in the process have been automated into mechanical steps and algorithms that utilize raw data for human consumption. More and more often, it is done with the use of specialized technology and software.

The main objective is to help individuals and organizations understand data. Raw data is often examined for trends and insights by data analysts. They employ a range of strategies and tools to assist businesses in making decisions and achieving success. Tools and software for analyzing data to help users make data-driven decisions that can enhance company outcomes.

Benefits could include improved marketing efficacy, operational performance, and consumer personalization. It is significant since it aids in performance optimization for enterprises. By creating more cost-effective business processes and keeping a lot of data by incorporating it into their business plan, businesses can cut costs.

  • Acquiring new clients
  • Improving client retention
  • Enhancing client interactions
  • Better controlling marketing initiatives
  • Monitoring social media activity
  • Trends in sales forecasting


Data Aids With Issue Solving:

How can you figure out what went wrong after observing a poor-performing marketing campaign or experiencing a slow sales month? You may better understand each phase of the process, identify steps that need to be modified, and determine which ones are operating well by tracking and reviewing data from business processes.

This allows you to detect performance breakdowns. Data enables you to comprehend performance: Data simply allows you to see the performance. Sports teams provide a great example of how a business may use performance data to enhance its teams. Every professional club today has a group of data collectors and analysts working to support and improve play on the field.

They constantly update information on who is performing well in what areas and how that might assist the team as a whole to succeed. Data aids in process improvement: Data enables you to comprehend and enhance company operations, hence minimizing time and money lost.

Every firm’s business is affected by waste’s effects. The bottom line is ultimately impacted, and time and resources are consumed. Data aids in consumer understanding: How would you know who your customers are without data? Without data, how can you determine whether customers appreciate your products or whether your marketing initiatives are effective?

Without data, how would you know how much money you were earning or spending? Understanding your market and clients need data. If you don’t have the necessary tools to make sense of all the data you have, it might be simple to get lost in it.


Career Opportunities After Data Analytics Courses in the UK:

Skilled data analysts are among the most sought-after specialists globally. Due to the strong demand for their skills and the dearth of skilled individuals, data analysts attract top salaries and perks, even at the entry-level. You might start as a data analyst before moving up to the position of senior analyst, analytics manager, director of analytics, or even chief data officer (CDO).

If you’re thinking about taking this route, you should concentrate on honing both your data and leadership skills. Data science abilities are in high demand in the job market, according to the report “Dynamics of Data Science talents.” Workers with specialized data capabilities, such as data scientists and data engineers, have increased by more than 230% over the past five years.


Famous Certifications in Data Analytics Courses in the UK:

  • CCA Data Analyst.
  • IBM Data Science Professional Certificate.
  • Amazon AWS Certified Big Data.
  • SAS Certified Advanced Analytics Professional.
  • Data Management Analytics Microsoft Certified Solutions Expert (MCSE).
  • Microsoft Azure Data Scientist Associate Certification.


Skills and Requirements for a Data Analyst after Data Analytics Courses in the UK:

Candidates for the position of data analyst must possess a bachelor’s degree from a recognized university, preferably in information technology, computer science, math, or statistics, with a minimum grade point average of 50%. Analytical abilities: the ability to conclude a huge amount of data, such as facts, statistics, and numbers. Communicating effectively by presenting their findings in documents that are easy to grasp.


Critical Thinking: Making judgments based on trends and data.

Number Sense: Data estimation for numbers.

Observation of details Analytical vigilance to ensure accurate conclusions.


Elementary Statistical Theory

  • Mathematical Methods  
  • Programming for Data Science
  • Managing and Visualizing Data
  • Microeconomics
  • Macroeconomics
  • Finance
  • Mathematical Proof and Analysis
  • Further Mathematical Models (Linear Algebra)
  • Databases
  • Probability and Distribution Theory
  • Machine Learning
  • Artificial Intelligence
  • Regression and Generalized Linear Models and many more.


Job Profiles After Completion of Data Analytics Courses in the UK:

From finding solutions to a problem or providing an answer to a question, a data analyst gathers, purifies, and analyzes data sets. They work in a variety of different fields, including government, business, finance, law enforcement, and science.


Data Scientist: Analyzing the hazards associated with these choices is another responsibility of a data scientist. Additionally, it is necessary to record the results and notify the relevant parties as necessary.

Business Analyst Focused on Data: Work with data scientists is coordinated by this job description. A business analyst’s role is to infer and provide insights into business-related problems from the provided data, whereas data scientists examine data trends and produce reports based on them.

Business Analyst with a Focus on Technology: Consider the position of a business analyst who is tech-focused if you want to shift your attention slightly from the statistical to the technical side of things. Working with machine learning, parallel processing, high-performance computing, coding, and databases will be part of your responsibilities as a technical analyst. You would also need to be skilled in coding for this position.

Business Analyst Manager: The leadership abilities are what set this profile apart because as the manager, you would be in charge of evaluating and monitoring the work and performance of the other employees.

Business Analyst Consultant/Consulting Analyst: The task of identifying inefficiencies in business strategies and deals falls to a business consultant. The data reports must also be examined by a business analyst consultant to spot any inefficiencies in the plan and analyses. This person frequently makes the changes that are required for better business judgments.

Quantitative Modeler or Analyst: In the realm of business, mathematical models are relied upon for their precise forecasts. An expert in engineering science, mathematics, and computer science, a quantitative modeler. They are in charge of grasping data models and formulating plans for important business decisions due to their knowledge in these fields.

Operations Research Analyst: One of the best professions in the business world is this one, according to many people. With such a well-known reputation, the duties are heavy. An operations research analyst is a prominent problem-solver who makes use of cutting-edge methods of mathematical analysis, statistical modeling, data modeling, and optimization.

Statistician: A statistician’s responsibility is to gather the initial data from the field, interpret it, and explain the conclusions to their clients. Even in this position, sophisticated mathematical software is used. For the clients to generate judgments and plans from the data, it is also necessary for a statistician to translate the data into straightforward, intelligible words.


A few other best courses in the UK for a rewarding career:


Top 12 Institutes for Data Analytics Courses in the UK:

IT professionals and other professionals can specialize in this area to improve their career chances, and UK institutions provide some of the best postgraduate data science and analytics program courses in the world. They are various institutions and include both classroom and online learning options, depending on which is more convenient for potential students.


1. University of Warwick:

The University of Warwick’s data analytics program, which is geared toward graduates with a technological aptitude, will teach you the technical abilities and skills required to help you realize your potential in the industry. It is one of the top 12 institutes for Data Analytics Courses in the UK. The Department of Computer Science at Warwick, which is second in the UK according to the REF 2014 rankings, seeks to advance and revolutionize science and technology.


Duration: Full-Time, 12 months.

Eligibility: First Class Honors degree or an Upper second-class degree. The degree must be in a quantitative field such as computer science, mathematics, statistics, physics, or a related field.

The Following is Also Necessary for This Course: IELTS band A total score of 6.5 and no component scores lower than 6.0.


Course Module:

  • Dissertation Project in Data Analytics
  • Research Methods
  • Foundations of Computing
  • Data Mining


2. London School of Economics

Comes in the top 12 universities for Data Analytics courses in the UK, the London School of Economics offers instruction in data science techniques with a focus on statistics. Students will gain a deep understanding of the subject as well as the capacity to use sophisticated data analysis methodologies to analyze real-world situations with a balanced emphasis on theory and practice.


Duration: Full-Time, 36 months.


They accept a variety of different credentials from the UK and from abroad, including,

  • strong GCSE results, with numerous A (or 7) and A* grades (or 8-9)
  • Additionally, GCSE English and Mathematics scores should be at least B. (or 6)
  • Additionally, we look at your general GCSE subject profile.
  • 38 total points for the IB diploma, including 766 in courses at higher levels, including higher levels of mathematics.
  • Contextual admissions IB grades* were 37 overall points, including 666 in higher-level courses like mathematics.
  • A-levels AAA, with a math grade of A
  • If available, your AS grades are also taken into account.
  • Admissions context A-level grades* AAB with an A in math.


3. Imperial College London

Imperial College London is one of the best institutions in the world and is one of the six elite British colleges that make up the “Golden Triangle,” along with Oxford and Cambridge. It is from the top 12 institutes of Data Analytics courses in the UK, which has an online program with Coursera.

The excellent data science degree offered by Imperial College London places equal emphasis on data science and theoretical and applied statistics. Theoretical aspects of machine learning, data transformation and representation, data visualization, and the usage of analytical software will all be covered.


Duration: 24 months.


Course Modules:

  • Applicable Math
  • Ethics in Data Science and Artificial Intelligence 
  • Programming for Data Science
  • Exploratory Data Analytics and Visualization
  • Supervised Learning
  • Big Data: Statistical scalability with PySpark
  • Bayesian Methods and Computation
  • Unstructured Data Analysis
  • Unsupervised Learning


4. University of Edinburgh

The University of Edinburgh is in the top 12 institutes list for Data Analytics courses in the UK. The prestigious University of Edinburgh in Scotland’s data science department concentrates on informatics research, pattern recognition, and data forecasting. In the School of Informatics, you’ll learn about things like machine learning, statistics and optimization, databases, and data management.



  • 12 months, full time
  • 24 months, part-time
  • 36 months, Part-time



A degree in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, philosophy, physics, psychology, or another quantitative field with a UK 2:1 honor or its international equivalent.

  • Students from China
  • Band B describes this degree. Chinese students’ admission requirements for postgraduate study.
  • IELTS Academic score: total 7.0 with at least 6.5 in each component.
  • TOEFL-iBT (including Home Edition) score of a total of 100 with at least 23 in each component. 
  • C1 Advanced (CAE) / C2 Proficiency (CPE) with a total of 185 with at least 176 in each component.
  • Trinity ISE: ISE III with passing grades throughout the board.
  • PTE Academic score of a total of 70 with at least 62 in each component.


Course Modules:

  • Learning of Machines, Statistics, and Optimization (e.g., Machine Learning and Pattern Recognition, Statistical Programming, Large Scale Optimization for Data Science)
  • Databases and Management of data (e.g., Introduction to Databases, Extreme Computing, Advanced Database Systems)
  • Different applications (e.g., Text Technologies for Data Science, Accelerated Natural Language Processing, Image and Vision Computing)


5. University of Manchester  

Graduates from a variety of disciplines can improve their data science abilities according to the University of Manchester’s cutting-edge data science program. It equips them for multidisciplinary teamwork by drawing from five different areas. Both working individuals who are already employed in this industry and those looking to change jobs can benefit from this training.

Big data expertise or advanced mathematical abilities are not necessary. You can use this course as a conversion to move into a new career in this exciting industry if you lack practical expertise in data analytics but have a good background in social sciences. It is also considered one of the top 12 institutes for Data Analytics courses in the UK.


Duration: 18-27 months, part-time


  • A bachelor’s degree with honors in the upper second (2:1) level or its international equivalent in a social science field.
  • If you have research experience or similar professional expertise, we may also take exceptional applicants with a lower-second (2:2) class honors degree into consideration.
  • If you decide to study at the PGDip level and want to advance your degree to an MSc, you must have a 50% pass grade on taught modules.
  • IELTS: 6.5 overall, with a minimum score of 6.5 in the writing section, or an equivalent.


Data Analysis Courses in the UK Modules:

  •  Data Cleaning and Visualization Using R
  •  Introduction to Statistical Modelling
  •  Data Science Modelling
  • Survey Methods and Online Research
  •  Multilevel and Longitudinal Analysis 
  • Demographic Forecasting
  • Structural Equation Modeling
  • Research Skills in Practice


6. University of Southampton

The one-year data science degree from the University of Southampton for Data Analytics courses in the UK aids in developing fundamental competencies such as developing and using complex big data analytics methodologies and managing high-performance computing clusters and cloud-based infrastructures.


Duration: 12 months, Full time.


  • You’ll need to have a 2:1 degree in a field that requires some quantitative instruction, including computer science, economics, engineering, mathematics, physics, or statistics.
  • IELTS criteria for a total score of 6.5.


Data Analysis Courses in the UK Modules:

  • Programming skills in R and Python 
  • Advanced theory and methods of applied statistics 
  • Practical application of operational research 
  • Modeling of deterministic and stochastic systems 
  • Industry career skills working on a project with an external organization 


A few  other recommended courses:


7. London Metropolitan University 

You will be introduced to topics including data mining, statistical modeling, business intelligence, and data visualization in the data science program at London Metropolitan University, which is one of the best Data Analytics courses in the UK. Industry experts helped build the modules for this course, and some of them will be there to instruct you in particular classes.

You can study cutting-edge data science techniques with the aid of these professionals. You’ll study specialized topics including forecasting, statistical modeling, and financial mathematics. Furthermore, the MSc Project module will provide you with the opportunity to create a truly original piece of art.


Duration: 12 months both Full time and Part time available


  • You must possess a 2:2 UK degree (or its equivalent) in a subject where data analysis is a component (applicants with relevant professional experience will also be considered). Recognizing Prior Learning.
  • You may be able to apply for any college degrees or appropriate work experience you acquire before beginning your studies at London Met. 
  • You must be able to show that you are proficient in the English language to enroll in a degree program at London Met. You could be required to submit the results of a Secure English Language Test (SELT), such as the Academic IELTS if you need a student visa.


Data Analysis Courses in the UK Modules:

  • Data Analysis and Visualization
  • Data mining and Machine learning
  • Data warehouse and Big data
  • MSc Project
  • Programming of data analytics
  • Statistical Modelling and Forecasting
  • Financial Mathematics


8. Data Science Specialization — JHU Coursera

One of the most popular and highly rated course collections on this list of top 12 Data Analytics courses in the UK. JHU did a fantastic job balancing the curriculum’s depth and breadth. This series includes a comprehensive section on statistics, which is the foundation of data science but is typically absent from many data science courses.

Overall, the R programming language is used to combine theory and application in the Data Science concentration. As for requirements, you should be familiar with algebra and have some programming experience (it doesn’t have to be in R). Linear algebra and/or calculus background is not required, but it is advantageous.


Duration: 11 months, flexible timings.


Data Analysis Courses in the UK Modules:

  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone


9. CS109 Data Science – Harvard

This Harvard course is among the finest for beginners since it has a nice balance of theory and application and is on the list of top 12 institutes for Data Analytics courses in the UK. Although it isn’t on an interactive platform like Coursera or edX and doesn’t provide any kind of certification, it is free and worth your time.


Data Analysis Courses in the UK Modules:

  • Data collection is data wrangling, cleaning, and sampling to get a suitable data set.
  • Data management ‐ accessing data quickly and reliably. 
  • Exploratory data analysis is generating hypotheses and building intuition, 
  • Prediction or statistical learning. 
  • Communicating results via visualizing them, telling stories, and providing comprehensible summaries.


10. Dataquest

Even if you take additional courses from this list in addition to Dataquest, it will be an excellent addition to your online learning because Dataquest is a terrific resource on its own. Instead of using video lessons to instruct, Dataquest uses an interactive textbook. In the data science track, each topic is supported by several in-browser, interactive coding steps that walk you through using the particular concept you’re studying.

Because the curriculum is so well-organized, you learn through working on whole data science projects, and there is a highly active and supportive Slack community where you can ask questions, Dataquest stands out from the other interactive platforms.


Duration: 7 months (10 hours/week) Flexible.


Data Analysis Courses in the UK Modules:

  • Programming with Python for performing complex statistical analysis of large datasets
  • Exploring and extracting data from databases and web pages using SQL queries and web-crawling
  • Completing an effective data analysis from beginning to end
  • Building insightful data visualizations to tell stories


11. Statistics and Data Science Micromaster – MIT edX

This series from MIT is a particularly well-rounded program for being able to grasp data intuitively because it includes probability and statistics courses. Compared to the UC San Diego MicroMaster described earlier on the list of top 12 institutes for Data Analytics courses in the UK, this MicroMaster from MIT spends more emphasis on statistical content.

You should be familiar with Python programming, and single and multivariate calculus due to its advanced nature. They advise doing Introduction to Computer Science and Programming Using Python to familiarize yourself with Python before beginning the ML component because there isn’t an introduction to Python or R as in some of the other courses.

Check out Codecademy’s Python track if you’d prefer to study Python through an interactive on-demand environment.


Duration: 14 months (10 – 14 hours/week)


Data Analysis Courses in the UK Modules:

  • Probability -Is learning the Science of Uncertainty and Data
  • Fundamentals of Statistics
  • Machine Learning with Python right from Linear Models to Deep Learning
  • Capstone Exam in Statistics and Data Science
  • Data Analysis in Social Science—Assessing Your Knowledge OR Data Analysis:
  • Statistical Modeling and Computation in Applications


12. University of Liverpool

The renowned University of Liverpool, the final one in the top 12 institutes for Data Analytics courses in the UK, offers a master’s degree in data analytics that focuses on enhancing students’ organizational, analytical, and leadership abilities.

It will provide you with the knowledge and abilities to transform business through wise decision-making and planning, as well as how to apply the precise analysis and insights provided by big data to increase efficiencies across all business activities.

This online big data analytics program will provide you with a specialty qualification in a branch of computing that has experienced explosive growth and undergone radical change in a wide range of sectors and companies. The curriculum will provide you with a thorough grasp of both the technology that underpins big data analytics and its actual practical use for business data and real-world issues.


Duration: 30 months approx. part-time and online



  • At least a 2:2 class degree in computer science or a closely related field, which is equal to a bachelor’s degree in the UK, plus two years of work experience.
  • Any prior qualifications, including professional job experience, will be taken into consideration on an individual basis.
  • Every applicant must show proof of their English language proficiency, which is required to have an IELTS (academic) score of 6.5.


Data Analysis Courses in the UK Modules:

  • Global Trends in Computer Science
  • Data Visualization and Warehousing 
  • Machine Learning in Practice
  • Cloud Computing 
  • Security Engineering and Compliance 
  • Deep Learning 
  • Research Methods in Computer Science 
  • Computer Science Capstone Project 


FAQs About Data Analytics Courses in the UK


Q1. Is data analytics a good career choice?

Data scientists are important decision-makers. It benefits the firm by giving it the ability to make smart business decisions and giving it an advantage over rivals in the market. Therefore, a career in analytics will undoubtedly secure you a position as one of the organization’s top decision-makers.


Q2. Is there a demand for data analytics?

Once you finish the data analytics courses in the UK, pursuing a career in data analytics can help you find stable employment in a lucrative industry. Data analysts and scientists are in more demand each year than there are enough qualified candidates to fill those positions. 


Q3. Is working in data analytics stressful?

The field of data analytics has been characterized as challenging by many data experts. You must therefore carefully analyze your options and decide if you want to work in science or data analytics.


Q4. In the UK, are data analysts in high demand?

Data analysts are in high demand as the sector is expanding quickly, and after just a  few years working for a large company, analysts often earn over £35,000.


Q5. Do data analysts have home offices?

You might have the opportunity to work remotely as a data analyst. With access to data and analytics software, you may operate from any location.


Q6. Do data analysts put in a lot of time?

You should anticipate working seven days a week during regular business hours as a data analyst. This can range from 40 to 60 hours per week on average.



The data analytics courses in the UK offer a moderate introduction to data analysis concepts, the job of a data analyst, and the tools that are employed in routine tasks. You will learn the basics of data analysis, such as data gathering and data mining, as well as the data ecosystem. Businesses are being transformed by the data explosion. Businesses of all sizes now anticipate that data-driven knowledge will support their business decisions. Data professionals have a big impact on business strategies and marketing tactics.

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