Data Analytics

Top 6 Data Analytics Courses in Glasgow With Placement Assistance

The internet has made it simple for anyone in this information age to access information whenever and wherever they need it. You must research trends if you want to prosper in this digital age that is fostering a knowledge-based culture. Data is used by everyone, from large organizations to start-ups, to create future business plans that will be more successful. With this wealth of data at our disposal today, the chance to use insight from that data has never been higher. Here we see 6 different Data analytics courses in Glasgow in offline as well online modes. 


With many education experts arguing that the subject is so important that it should be taught in many educational institutions, this makes now the ideal moment to begin a trip into the realm of big data analytics. Graduates can benefit financially from the increased demand for data analytics, but the big data boom has also resulted in a variety of new job prospects for skilled workers. So if you want to enter the prospering field of data analytics – it is the right time!


Is It Worth Doing These Data Analytics Courses in Glasgow?

Well to understand an answer to this question let us first understand what data analysis is in layman’s terms. Imagine you are entering a huge library with the largest and the most valuable collections of books from all over the world. You want to read the rarest of the kind of book on the life of Adolf Hitler.

You entered the library with beautiful French windows on the side and a sea of tables and chairs for the readers. You have entered the aisle where books are kept but to your horror, this library doesn’t have an organized section of books. All books of fiction and nonfiction are piled up together. There is an old librarian who cannot read the labels. For hours you search for that rare Adolf Hitler lying somewhere hidden among the mountain of books but in vain. You leave with a heavy heart, daydreaming about the book of your dreams.

Well from the above situation, what do you think the actual problem was?  The library had the most amazing collection of books, it had beautiful aesthetics and even a librarian. But the real problem lies in the organization of books.  Even the most valuable books lose their worth if the various types of data are not arranged in sensible order. A data analyst’s role is to gather and organize data so that it has value and is worthwhile. One can comprehend such well-organized data and find solutions to the issues.

Thus, data analytics refers to the process of examining raw data in order to derive important, useful information that is then used to guide and motivate profitable company choices.


Who Can Be a Data Analyst?

There is no compulsion degree required to become to pursue a course in data analysis. Indeed a formal bachelor’s degree in mathematics or data science would be mandatory if you are looking for a master’s degree in Data analysis. However, whether you are a student or a working professional who desires to upgrade your skills according to the current needs of the market – a certificate course in Data analysis is an excellent choice.


Which skills do you need to become a data analyst?

  1. Problem-solving
  2. Critical thinking
  3. Analytical mind
  4. Interest in coding
  5. Basic statistics
  6. Communication

Skills you will acquire after becoming a data analyst

  1. Data visualization
  2. Data cleaning
  3. Structured Query Language
  4. Programming languages – Python and MATLAB
  5. Machine learning
  6. Microsoft Excel

Employers need workers with the appropriate blend of technical, analytical, and communication skills, which makes data scientists highly sought-after in a range of industries.


Why in Glasgow?

Glasgow is one of the largest and most populous cities in Scotland. The city was established as a small rural settlement on the River Clyde and now it has the largest seaport in Scotland. The city is not only the most densely populated city in the entire world, it has become a hub for industrial trade with 32 city councils. One of the greatest examples of this city’s gift to the world will surprise you.

The first television was created by Mr. John Logie Baird, an electrical engineering student at the Royal Technical College in Glasgow and the University of Glasgow. He delivered the first long-distance television signal ever in 1927, traveling from London to Glasgow Central Train Station’s Central Hotel. Glasgow may be the reason we have television today!

Under the 32 city councils of Glasgow they collect data for more than 9 sectors like health, education, green, etc. and using the tactics of data analysis Glasgow is soon to become a new hub for the industrial sector. Hence, those who are looking to study data analysis courses in Glasgow are an excellent choice. 


6 Data Analytics Courses in Glasgow


1. Data Analytics Master’s Course by IIM SKILLS

IIM SKILLS is a rapidly expanding Ed-Tech Business. It offers numerous programs in the field of Finance and  Marketing. The Data Analytics Course offered by IIM SKILLS is a fully online 6 months course with 2 months of internship. Along with these, they offer live doubt-solving sessions, projects, case studies, and lifetime access to the resources. At the end of the course, you get an internationally acclaimed certificate recognized by the Government of India.


Data Analytics Courses in Glasgow Structure

There are nine major modules in the course:

  1. Using advanced Excel for data analytics
  2. VBA for data analytics
  3. SQL for data analytics
  4. Power BI for data analytics
  5. Python 1 for data analytics
  6. Python 2 for data analytics
  7. Tableau for data analytics
  8. Data Science using R
  9. Alteryx for data analytics


Who can apply for data analytics courses in Glasgow?

There are no conditions to apply for the course. Any amateur or expert can benefit from it. It can benefit you if you have a bachelor’s degree in any discipline and basic expertise in computer and technology.



For the entire master’s program, there are 49,900 INR in fees. Additionally, they provide short-term, individualized courses for data analytics. The cost per course is INR 19,900.


2. M.Sc. in Data Analytics for Economics and Finance – University of Glasgow

The MSc Data Analytics for Economics & Finance will suit people who are eager to learn data analytic skills together with economic insights and who wish to pursue a career in finance, banking, consulting, government, or other significant international institutions. The degree offers a multidisciplinary curriculum that will equip graduates for employment in all data-intensive disciplines relating to marketing, business, and economics. Direct entrance to a Ph.D. program is another benefit.


Course Structure

With core and elective courses from the Departments of Economics, Accounting and Finance, and Computing Science, this program offers a unique and cutting-edge multi-disciplinary approach to the topic of data analytics as applied to economics and finance. This one of the best Data Analytics courses in Glasgow will capitalize on students’ keen interest in data analytics to help them hone the skills necessary to use big data to support complicated decision-making.

Based on internationally renowned research, it will offer advanced training in time series analysis, panel data econometrics, and Bayesian inference to prepare students to utilize their knowledge and skills to undertake cutting-edge research to lead and deliver projects.

Early to mid-September sees the start of the curriculum with two pre-sessional courses: one on computational approaches (Python, MATLAB, and Stat), and the other on revisions of matrix algebra and statistical regression models. These programs guarantee that learners from a range of backgrounds can all advance to the necessary level of prerequisite expertise.

Three core courses that address three different types of data analysis are offered as part of the first semester in October: macroeconomic and financial data econometrics, as well as econometric and machine learning inference. One core subject and electives make up the second semester. In the main course, Bayesian inference is introduced as a unified estimating technique for all facets of traditional and high-dimensional econometric models (for example, models for formulating policy that have more variables than available observations).

To meet the needs of students with varying professional aspirations and educational backgrounds, the elective courses provide a range of topics in applied finance and data science. A 60-credit thesis component is also included. The thesis may be submitted via the conventional research pathway or may be written as a component of an internship.


Who can apply to the Data Analytics courses in Glasgow?

  • Honors in Economics, Finance, Computing Science, or any other equivalent course. 
  • Basic programming language


How to apply for the Data Analytics courses in Glasgow?

Online applications are required for postgraduate-taught degrees. Along with other required documents.

 Contact on: +44(0)141 330 2000



The full-time fee for the Data Analytics courses in Glasgow for students of the UK is $11520 for the current 2023-24 academic session.

The full-time fee for the Data Analytics courses in Glasgow for other international students of the UK is $11520 for the current 2023-24 academic session.


3.  M.Sc. in Data Analytics – University of Strathclyde Glasgow

The University of Strathclyde has won numerous honors. Only one university has twice (in 2012 and 2019) been named Times Higher Education University of the Year. At the Times Higher Education awards over the years, they have received recognition in a number of categories. These include the highly prestigious Business School and Workplace of the Year awards.

Students can build the skill set required in a variety of industries with an MSc in Advanced Computer Science with Data Science. Understanding the new difficulties brought on by the data revolution can help you better handle its modeling, storage, and access.


Course Structure

This is a 12 months course – full-time and 24 months – part-time. There are 2 semesters for the course. For each semester you have fundamental and elective subjects followed by a dissertation.


Fundamental Subjects

Fundamental subjects are the compulsory topics you have learned throughout the course.

  • Data fundamental

The challenges of analyzing huge data will be covered in this topic, with a focus on the algorithms and methods used in data analytics software.  Along with this, you are going to learn the basics of Python language and apply traditional statistical methods to the analysis of current data.


  • Data tools and analysis

This program will deepen your comprehension of the difficulties brought on by the emergence of Big Data and introduce you to configurable data storage and usage alternatives. You can anticipate learning about cloud NoSQL system design and implementation, as well as design trade-offs and how they affect the MapReduce programming paradigm.


  • Data analytics in R

The R computing environment will be introduced in this module, and you’ll be able to import data and do statistical analyses. The comprehension of the general linear model, the least squares multiple regression model, transformations, and variable selection techniques will then be the module’s primary focus.


  • Business and Decision modeling

In addition to providing a thorough review of decision analysis techniques applicable to analytics, such as decision models and multi-criteria decision analysis, this course will also teach students core business modeling abilities, such as general problem-solving and basic methodological concerns.


  • Analytics-specific optimization

By modeling complex issues and comprehending algorithmic elements, this course will give students the essential optimization expertise they need. Examples include network optimization and integer programming. 


  • Data analytics and practice

Students will have the essential chance in this session to put their in-depth understanding of tools and methodologies from prior data analytics classes to use on complex business challenges that real clients will present to them.


Elective Subjects

There are 3 major fields for elective subjects. Students must select electives totaling 40 credits from at least two different departments.

  1. Department of Computer and Information Services
  2. Department of Mathematics and Statistics
  3. Department of Management and Science


Who can apply for the Data Analytics Courses in Glasgow?

  • A minimum of a second-class honors degree in mathematics, the natural sciences, engineering, or its international equivalent.
  • Students whose first language is not English are required to have an overall IELTS score of at least 6.5 and a minimum of 5.5.


How to apply for the Data Analytics Courses in Glasgow?

Online applications are required for postgraduate-taught degrees. Along with other required documents.



The total fee for Data Analytics courses in Glasgow for the students of Scotland, England, Wales, and Northern Ireland is £12,250. For other international students, the total fee for this course is £23,000 as per the current academic year 2023-24. 


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4. Master’s Data Analyst Program by Simplilearn in Collaboration With IBM

Simplilearn’s Data Analyst Courses in Glasgow, which was created in cooperation with IBM, seeks to give people extensive skills in the rapidly expanding field of data analytics. Data blending, hypothesis testing, regression analysis, forecasting, and data extraction are among the skills taught in the Data Analyst course in Glasgow for accredited training.

With such training, one can also learn data organization and dashboard design skills as well as data visualization abilities utilizing Power BI and Tableau. People with a basic comprehension of mathematical ideas can also succeed in such a course and become specialists in data analytics.


Course Structure

This course has 7 modules. You will get a certificate after the completion of each module. Along with this, you will get experience in 15 real-life projects in the field of Data analytics.


Module 1 Business Analytics with Excel

In-depth skills in Microsoft Excel in link with Data analytics are taught.

This has 12 sub-lessons.

Module 2 SQL

This course will teach you how to manage your SQL database for scalable expansion by using core SQL commands, conditional statements, directives, joins, subqueries, and numerous functions.

It has 12 sub-lessons.

Module 3 Programming Basic and Data Analytics with Python

You will learn the fundamentals of Python in this data analytics course before studying a wide range of data kinds.  You will discover how to prepare data for analysis, carry out elementary statistical calculations, make insightful data visualization, forecast future trends using data, and more.

This module has 3 sections. Two sessions of theory and one practice project.

It also provides two free sessions about learning Data Science and Data visualization with Python.

Module 4 Data Science with R Programming

This module provides an introduction to R programming.  Learn to use R data structures, develop R code, and create your own functions.

Module 5 R for Data Analytics

R is the most sought-after open-source technology, therefore learning it is the next step to becoming a data analyst.  The robust analytics and data science language R has a high learning curve and a thriving community.

Module 6 Tableau Training

This Tableau certification course aids in your mastery of the widely used data visualization, reporting, and business intelligence application known as Tableau Desktop. Through Tableau training, you can enhance your career in analytics and pick up marketable skills. Employers value Tableau certification highly for jobs involving data. Your ability to effectively use Tableau for data preparation, interactive dashboard building, the addition of new dimensions, and in-depth examination of outliers is taught in the course.

Module 7 Data Analyst Master’s Capstone

You will get the chance to put the abilities you learned in the Data Analyst course into practice with Simplilearn’s Capstone project for data analysts. With the help of concentrated mentorship sessions, you’ll discover how to resolve a real problem pertinent to your field. The project is the last phase in the learning process and will enable you to show employers your level of knowledge.


Who can apply for data analytics courses in Glasgow?

  • Anyone with a basic understanding of mathematics can enroll in this certificate program. Beginners, undergrads, and graduates can all pursue it.
  • Anyone looking to improve their data analytics skills, including IT professionals, marketing managers, and sales managers, can enroll in this course.



The total fee for the course is £1099.


5. Datamites

Datamites is a global training center for artificial intelligence and data science. Datamites’ Data Analysis Certification Course has been approved by IABAC, a European Union framework. It includes live training sessions along with real-life projects, to prepare the students for the application of data analytics concepts and develop strong networks. You will learn from the experts at a cost-effective rate.

It will assist you in taking a significant step forward in your employment portfolio into the analytics domain.  It is a NO-CODE program that enables data analysts and managers to master complex analytics without any programming experience.


Course Structure

The course lasts four months in total.  It consists of 135 learning hours and 2 months of internship.

It is divided into 5 modules that cover various aspects of data analytics in depth.

  1. Data Analysis Foundation – 8 lecture hours
  2. Data Science Foundation – 24 lecture hours
  3. Data Analysis Associate – 8 lecture hours
  4. Advanced-Data Analysis – 16 lecture hours
  5. Certified BI Analyst – 6 lecture hours.


Who can apply for data analytics courses in Glasgow?

There are no requirements to enroll in the course. Anyone with basic mathematical and statistical skills can apply for the course, although a graduate in science or mathematics stands to gain significantly from it.



The total fee for the course is $584 for the current academic year 2023-24


6. M.SC Big Data Course

The University of Stirling offers a Big data Master’s program. As a completely online program, it can be pursued from any place worldwide. It has been pursued at your own pace. It consists of a self-paced mix of online materials, live seminars, and video lectures. The advanced master’s degree focuses on coding abilities, Big Data technologies, and data analytics, which can help you land a high-profile job in the cutthroat job market.


Course Structure

The curriculum includes:

  1. Big Data: Mathematics and Statistics
  2. Python Programming
  3. Applications of Big Data in Business and Science
  4. MongoDB, Cassandra, and Neo4J are examples of big databases and NoSQL. Python, Orange, and Scikit-Learn are used for analytics, machine learning, and data visualization. Acquire knowledge of Hadoop, Spark, Hive, and Map in cluster computing Reduce
  5. Student assignments, sometimes involving internships with businesses or technology suppliers


Who can apply for data analytics courses in Glasgow?

For the application of this program, a second-class honors degree or equivalent is required, however, candidates without these formal qualifications who have substantial appropriate/relevant work/life experience are eligible for consideration.



The full-time fees, for the students of the UK, Republic of Ireland, European Union or other overseas countries, is £10,500 for the current 2023-24 academic session.


FAQs: Data Analytics Courses in Glasgow


1. What does a data analyst earn over the course of a year?

A certified data analyst can earn a minimum of £29,000 annually. Its payroll also depends on your adapted skills and your prior qualifications as well as the organizations you work with.


2. What are the key benefits of enrolling in data analytics courses in Glasgow?

Glasgow is not only the most beautiful city but it also has the highest GDP in Scotland.  It has the third highest GDP and per capita in the United Kingdom.  Many major industries are growing in the city like Digital Technology, Life Sciences, Tourism, and Events etc. Among these various fields Data Analytics is a growing industry and many reputable companies like Barclays and KPMG are hiring data analysts in Glasgow. 


3. Is data analytics a rewarding career?

Yes, of course, data analytics is one of the most rewarding careers.

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