Due to a sudden inflation in the demand for Data Analytics worldwide, there can be an upward slope in the number of admissions in the Data Analytics Courses in the UK. And there is an intense and insistent hit of curiosity around data analytics such that each and every individual is talking about it, irrespective of their age. If you are also willing to pursue data analytics as your career, you are at the right place. In this article, we will be discussing the Top 5 Data Analytics Courses in the UK, along with all the necessary details regarding the course.
Nowadays, the term Data Analytics is prevalent. This is because all type of sector or industry works on data and due to, the influx of a large amount of data daily, in the form of log files, video feeds, graphical data, barcodes, transactional data, and various other types of data. It becomes a tedious task to gather accurate information and draw optimal conclusions, which may vary for different organizations, as per their role and type.
With the help of data analytics, we can process tons of data, analyze it, and put it for further usage. Data Analysts opt to carry out the extensive transformation of the raw data into optimized information, which can cater to the organization’s needs and decisions. As a data analyst, you must possess key skills which include:
- Scrubbing and preparing data
- Evaluating and researching data
- Key knowledge of some tools
-Microsoft Power BI
However, if you are a complete fresher, then, also you can choose this course. You just have to understand, which skills are best in you and carry that forward by enhancing it. You will get a complete insight into the Top 5 Data Analytics courses in the UK from this article. The average base salary for a data analyst job in the UK is £38,070 as surveyed by the job listing site, Glassdoor, as of July 2023.
Types of Data Analytics
Data Analytics is divided into four different categories, depending upon their scope.
- Descriptive Analytics
Descriptive Analytics is the foundation for all other types of analytics, as it is based on all the events that happened in the past. Suppose, you have to run a company and the raw data that was given to you. You need to find answers to some important questions:
How were the sales in the past 2-3 years?
What was the driving factor for the customers? etc.
It is the simplest form of analytics and can use simple spreadsheets, graphs, and tables.
- Diagnostic Analytics
Diagnostic Analytics is the second step. It focuses on the reason behind the occurrence of a particular situation in the past in a particular company. This is the most skipped part, most organizations prefer to move from descriptive analytics to predictive analytics means from “what happened” to “what will happen”.
For example, the sales in your company decreased in the past few months, so, you will ask:
What was the main cause of sales decline in the past 3 months? Why is there an increase in the number of products returning in the last month?
Modern tools are being used to carry out diagnostic analytics such as data mining, drill down, Power BI, etc.
- Predictive Analytics
Predictive Analytics is used to determine future events by focusing on the trends of the past and getting insights. Techniques used here are machine learning, data mining, and statistical modeling.
For example, if you run an Independence Day sale every year and it increases every year, you will plan accordingly for 2023. You can also plan something trendy in order to spike your sales.
- Prescriptive Analytics
Prescriptive Analytics is the synthesis of diagnostic, descriptive, and predictive analytics. This is more guided to the exact implications of our actions, what will be the outcome of this particular step, what will happen, when it will happen, and all can be predicted. The tools required are big data and artificial intelligence. Used in highly specialized industries such as the oil industry, financial markets, and transportation industry.
You can use any analytics type, based on the problem in your company/that you are trying to solve. This may offer you a deep insight into the type of skills you must develop and master and also to understand which course is best for you among the Top 5 Data Analytics Courses in the UK.
Why Should You Pursue a Course in Data Analytics?
This thoughtful question will help you understand data analytics even more and also in choosing which course/university is best for you from the Top Data Analytics Courses in the UK.
- Data Analytics is a highly engaging career opportunity these days. Organizations are hunting for employees with excellent skill sets and the individual personal ability to update themselves with the onset of new technologies and advancement. You must have certifications in the desired skills as well. But their main focus is on the individuals who can utilize their skills rightly, in taking the organization forward.
- Data Analytics covers a wide range of opportunities and diverse fields. You have the free will to work in whichever sector you want. It may be an ad agency, big organizations, publishing firms, investment banks, the entertainment industry, and the list goes on. Choose a particular skill set and focus on achieving mastery of that skill.
- There is an umpteen competition in data analytics and several other factors like your education, university, skills, and location all will contribute to the amount of salary you receive.
- This field is emerging as one of the careers, that will keep on expanding with time. According to the Bureau of Labor Statistics (BLS), the field of data analysis may grow by 25% from 2020 to 2030.
- If you are a person who is phenomenal at computers and would love to explore and broaden your horizons, this job is perfect for you. Today’s teenagers have a great hand at technology and even their communication skills are on point. They can excel here if they decide to pursue data analytics as their career.
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List of Top 5 Data Analytics Courses In The UK
The Top 5 Data Analytics Courses in the UK are listed below:
1. IIM SKILLS
IIM SKILLS is a well-known name in the online world, famous for its highly demanding professional skill development courses like content writing, financial modeling, GST practitioner, investment banking, data analytics, etc. Their data analytics course is one of the leading courses that has gained immense success in delivering high-quality education around the globe.
This 6 months live training program is the best choice for those looking to get advanced skills and make a rewarding career for themselves. The 2 months of internship is part of the course which is an added advantage for the students. Below are the detials about the Data Analytics Course.
Course Name: Data Analytics Master Course
Course Fees: 49990 Rs. + 18% tax
Course Duration: 6 months along with 2 months paid internship
Course Structure: The course consists of 8 core modules.
- Data Analytics Using Advanced Excel
- Data Analytics Using VBA
- Data Analytics Using SQL
- Data Analytics Using Power BI
- Data Analytics Using Python-1
- Data Analytics Using Python-2
- Data Analytics Using Tableau
- R for Data Science
- Data Analytics Using Alteryx
2. University of Warwick
The University of Warwick’s Data Analytics course offers a Master’s degree combined with computer science, mathematics, and physical sciences. The course is divided into two sub-topics mainly, learning environment and research work. Inside the learning environment, you will get the complete course structure, seminars, workshops, etc. You will be equipped with technical skills including data mining, computer security, and other scientific approaches.
The Computer Science Department at Warwick University has been ranked 4th in the UK (REF 2021).
Course Name: MSc in Data Analytics
Course Fees: £31,450
Course Duration: 1 year
Entry Requirements: Ist Class Hons. Degree or 2:1 undergraduate degree in relevant fields (Physics, CS, Statistics, Mathematics, etc.)
IELTS overall score: 6.5
3. University of Strathclyde, Glasgow
The University offers two courses in the field of Data Analytics, MSc and BSc Hons. You are in for a ride here as firstly, you will be learning at the only University that has won the Times Higher Education University of the Year award twice, in 2012 & 2019 and secondly, you will be gaining experience and expertise in different data analytics software, implementing on a wide range of topics like mathematics, computer science and statistics.
Not only you will get hands-on experience in coding, but also work on real-life problems. All-in-all, you are going to be prepared here for the vast future opportunities and roles, you can’t even think of at this time. These are the reasons why we have included the University of Strathclyde in the Top 5 Data Analytics courses in the UK.
Your technical research and skills will keep you at arm’s length with your colleagues, tackling the decision-making process with so much ease.
Course Name: MSc in Data Analytics
Course Fees: £12,250(UK) & £23,200(International)
Course Duration: 12 months
Entry Requirements: Second class Hons Degree in Mathematics, the Natural Sciences, Engineering, Economics/Finance, or any equivalent degree. Experience working with programming languages is a plus point.
IELTS overall score: 6.5
The University of Strathclyde also offers a Pre-Masters course for international students who do not meet the academic entry requirements for a Master’s degree.
Course Name: BSc Hons in Data Analytics
Course Fees: £1,820(Scotland), £9,250(England, Wales and Northern
Course Duration: 4 years
- Machines, Language & Computation
- Information & Information Systems
- Programming Foundations
- Introduction to Calculus
- Applications of Calculus
- Essential Statistics
- Geometry & Algebra
- Advance Programming
- Logic & Algorithms
- User & Data Modelling
- Probability & Statistical Inference
- Mathematical & Statistical Computing
- Linear Algebra
- Multivariate Calculus
- Building Software Systems
- Inference & Regression Modelling
- Stochastics & Financial Econometrics
- Artificial Intelligence
- Web Applications Development
- Functional Programming
- Mobile App Development
- Communicating Mathematics & Statistics
- Individual Project
Optional Classes will be chosen from the list provided by the University. It may vary each year.
4. Birmingham City University
While pursuing a Master’s degree at Birmingham City University, you will delve into big data analytics, statistics, and data mining. You will be encouraged to build your confidence and skills through various tutor-led workshops, big data tools, and valuable sessions.
The course consists of formal lectures and workshops, along with collaborative work with your tutors, batchmates, researchers, and various businesses to give you hands-on experience.
The course is inclusive of theoretical concepts and practical world scenarios. This will give you a boost by working on your decision-making and business skills, becoming a boon for your upcoming future.
Course Name: MSc in Big Data Analytics
Course Fees: £9,250(UK) & £10,175(UK), £16,870(International) &
Course Duration: 12 months & 18 months
- Modern Optimisation
- Applied Statistics
- Advanced Databases
- Big Data Management
- Data Mining
- Web Social Media Analytics
- Individual Master’s Project
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5. Queen Mary University of London
The MSc Data Analytics at the Queen Mary University of London is keen on teaching the mathematical principles, core fundamentals of data analytics, machine learning, the latest technologies, and statistical techniques. The course focuses on implementing all that is being taught in real-world problem-solving scenarios and is suitable for graduates from subjects like Mathematics, Statistics, Economics, Engineering, and Computer Sciences.
You will complement data analytics with statistical tools as well as with data science applications. A summer project will also be provided to you, in order to develop your research skills.
Course Name: MSc Data Analytics
Course Fees: £12,250(UK) & £28,950(International)
Course Duration: 1 year
Entry Requirements: Undergraduate level with subjects including Mathematics, Statistics, Physics, Engineering, Economics & Computer Science.
IELTS score: 6.5
- Storing, Manipulating, and Visualising Data
- Machine Learning with Python
- Probability and Statistics for Data Analytics
- Project Dissertation
- Topics in Scientific Computing
- Financial Data Analysis
- Advanced Machine Learning
- Neural Networks and Deep Learning
- Programming in Python
- Graphs and Networks
- Optimization of Business Processes
- SAS for Business Intelligence
- Time Series
- Computational Statistics with R
- Bayesian Statistics
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Why Pursue Data Analytics in the UK only?
Amidst the increasing demand for Data Analytics as a career, a thought-provoking question remains in our mind, which is- From where you should get your data analytics course done? As above, we have already discussed the Top 5 Data Analytics courses in the UK, there are various strong reasons to opt for the course in the UK. These are-
- Universities in the UK are equipped with rich and extensive research facilities, and you get to work under the supervision of great experts in this field, along with several businesses that are at this time, contributing to their economy.
- The UK universities provide you with ample opportunities, and job vacancies, and especially, for the postgraduates they collaborate with leading organizations to provide you great exposure.
- The demand for data scientists and data engineers increased by 231% in the past 5 years.
- The average salary of data analytics graduates also rose by 5%.
- The big-data-driven companies of the UK such as Deep Mind, Benevolent AI, etc, make the UK one of the top destinations to study the data analytics course.
Potential Career Prospects After Pursuing Master’s in Data Analytics
While you are enquiring about the Top 5 Data Analytics Courses in the UK, you must also know what could be the potential career prospects for a Master’s in Data Analytics. They are as follows:
- Data Analyst
Perfect job after a master’s degree. Data Analysts work to gather and evaluate data to help organizations improve their business tactics and also, to make better decisions. This position can be taken up in various sectors, including finance, education, healthcare, digital marketing, and many others.
- Data Architect
The main role of a Data Architect is to design an integrated data framework in order to manage large volumes of data. This is a technical role, and the individual must also have strong analytical skills. A Data Architect regulates the security of data and develops blueprints aligned with business strategies.
- Chief Data Officer (CDO)
You can definitely apply for a Chief Data Officer role, after working as a data analyst for a few years. There is some fieldwork involved in the job. As a CDO, you must have expertise in IT and master’s specializations in a specified skill/subject.
With rapid technological transformation, the role of a CDO may include business processes, marketing initiatives, product development, and data governance. According to Forbes, within six years, 67.9% of firms have employed a CDO for different purposes.
- Data Scientist
Data Scientist’s job is to mine raw and complex data into resourceful information through algorithmic, statistical tools along with, using artificial intelligence. They implement machine learning techniques to improve data quality and analyse data.
According to the US Bureau of Labor Statistics (BLS), data scientist jobs are expected to grow 36% in the next 10 years.
- Machine Learning Engineer
The responsibilities of a Machine Learning Engineer are to implement different machine learning algorithms, researching, building, and improving the already known artificial intelligence systems. They work in close collaboration with the data science team, data engineers, data analysts, and IT experts.
They build large-scale systems that can learn logical and analytical tasks and develop insights for future decisions and operations.
- Chief Technology Officer (CTO)
This is an executive-level job. CTO is the head of the R&D department of a company and is more into strategic planning, and cost-benefit analysis, and follows technological trends. The person must have on-point leadership and organizational skills.
CTOs’ roles and responsibilities depend on different types of companies, according to which their main duties may differ.
- Logistics Analyst
A Logistics Analyst is more into the supply chain of an organization or company. He must be proficient in computing, analytical, mathematical, problem-solving, and cost-saving skills. The complete cycle from product formation to distribution, takes place under his supervision.
Popular opportunities for Logistics Analysts are Mining, Logistics, Shipping, Warehousing, Manufacturing, etc.
- Business Analyst
Business Analysts work through each and every step of an organization. His focus is more on recommending solutions and making data-driven decisions to improve business operations and ensure the success of his organization.
Gaining a basic understanding of the diverse potential careers that a Master’s in Data Analytics can offer opens the door to a promising future, particularly when considering the Top 5 Data Analytics courses in the UK.
FAQs: Data Analytics Courses in the UK
To wind up the article, let’s cover some of the most talked about questions regarding the topic, the Top 5 Data Analytics courses in the UK.
Q.1 Does having a mathematics background essential for data analytics?
Yes, it will be beneficial for you. But, if you don’t have a mathematics background then, too you can get yourself enrolled and acquire all the skills and knowledge.
Q.2 Is programming important for the data analytics course?
Yes, you must have a basic understanding of the programming. It will help you grow further. If you don’t have any knowledge, you can take up any course for the specific programming language, you need to learn or this programming will also be taught intensively in the course that you take up in the universities discussed above. You can learn it from there also.
Q.3 Is data analysis a good career option?
Yes, indeed it is. It is one of the emerging career opportunities. On top of this, it has a wide scope of fields. You can opt for whichever field speaks to your heart.
Q.4 What is an entry-level job of a data analyst?
The entry-level data analyst performed the same tasks as the one with experience. These tasks include data collection, cleaning, analysis, interpretation, and data management.
Conclusion: Data Analytics Courses in the UK
The Universities of the UK have a rich historical and educational background. They are surely one of the best places to study the data analytics course as you will be getting a world-class education with renowned experts. The Top 5 Data Analytics Courses in the UK that we have discussed, have diverse modules and course structures and conspire to build you a brighter future ahead. If you enroll in any of the universities mentioned in this article, you will get unquestionable scientific and practical knowledge about the skills, and firsthand experience with real-world problems.