A degree in Data Mining means teaching how to analyze enormous amounts of data and extract meaningful statistics. This program is likewise concerned with putting the extracted data to use for the benefit of the company or client. Students pursuing a master's degree in data mining in the United Kingdom gain in-depth knowledge and skills in Machine learning, Computational data analysis, Statistical principles of data analysis, knowing about ethical issues in the application of data mining techniques, Insightful large-scale data analysis, and Initiating independent data mining projects.

Informatics Research Review, Machine Learning, Informatics Project Proposal, Statistics and Optimization, Large-Scale Data Engineering, Databases and Data Management, Innovation, Technology, Business, and Society, Introduction to Artificial Intelligence, Visual Analytics and Text Analytics, are among the courses taught to MS in Data Mining graduates studying in the United Kingdom.

Why study this subject?

Data mining is a technique that involves approaches from machine learning, statistics, and database systems to extract and uncover patterns in big data sets. Data mining is an interdisciplinary subject of computer science and statistics with the overarching objective of extracting information (through intelligent techniques) from data collection and transforming it into an intelligible structure for further use. Data mining is the analytical phase of the "knowledge discovery in databases" (KDD) process. It includes features of database and data administration, data pre-processing, interestingness measures, model and inference considerations, interestingness measures, complexity considerations, post-processing of identified structures, visualization, as well as online updating, in addition to the raw analysis stage.

The phrase "data mining" is misleading because it aims to extract patterns and understanding from massive volumes of data, not to extract (mine) data itself. It is also a buzzword and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) and any application of computer decision support systems, including artificial intelligence (e.g., machine learning) and business intelligence.

Career prospects:

With a substantial jurisdiction for big data and related subjects such as data science and rapid development in need for individuals with specific data abilities, the United Kingdom is an excellent place for career seekers after completing a degree. According to labor data research, the need for skilled employees in the sector has more than quadrupled over the last five years, despite a general growth in demand for workers in other industries. After completing their MS in Data Science, students can work in one of the following occupations in the UK:

• Data Scientists and Advanced Analysts
• Analytics Managers
• Data Analysts
• Data Systems Developers
• Data-Driven Decision Makers
• Functional Analysts

Aside from competitive median wages and emerging industry titans in data science and analytics, the United Kingdom provides a further perk. To bridge the gap between high demand and limited supply, businesses have begun to collaborate with educational institutions to develop programs in relevant fields. With a great salary offer, the UK will ensure that you do not leave without a job in the nation. Skilled labour is in high demand in a country, making a master's degree in data science in the UK worthwhile. Students who want to pursue a degree at a lower cost might study Masters in Data Science in Canada. The average tuition expense for a master's degree in data science at a Canadian university is roughly 13,210 GBP, compared to 24,000 GBP in the UK.

Top Universities Offering this program:

One of the key four priorities of the UK government's industrial policy is pushing the country to the forefront of data revolutionization and artificial intelligence. A new strategy to expand data in sectors has improved the quality of data mining education in the United Kingdom. This has also resulted in an enhancement in the instruction of data mining-based programs. The following are the top data mining colleges in the United Kingdom, according to THE World University Rankings 2021.
 

• University of Oxford
• The London School of Economics and Political Science
• The University of Bath
• King's College London
• University of Manchester
• University of Glasgow

Cost of the Program (average) and Average cost of living

In the United Kingdom, the average yearly tuition rate for colleges providing master's degrees in data mining ranges between 23,000 and 25,000 GBP. The University of Edinburgh has the highest yearly tuition price in the UK for a master's degree in data mining, at 32,500 GBP. For Indian students, this equates to 33 lakh INR every year. The cost of living in the UK for an international student includes housing, transportation, meals, and other personal expenditures. All of these amenities have a total cost of no more than 15,000 GBP.

Scholarships:

Education funding in the UK may be a challenging job, especially for students. However, institutions in the UK provide a plethora of scholarships to overseas students to support them financially. In addition to scholarships, students can apply for loans to pursue higher education overseas. The advantage of a scholarship versus a loan is that loan repayment might be an additional burden for a student on a tight budget.

Apart from scholarships, student loans to study in the UK can play a significant role in easing financial stress.

Eligibility:

An international student wishing to pursue a master's degree in data mining in the United Kingdom must meet the following minimal requirements.

• Bachelor's degree in computer science or a related field.
• For an international degree, a 2:1 undergraduate degree or a minimum of 60% at the bachelor's level is required.
• The GRE is not necessary.
• Test results for English proficiency.

International students' applications may be considered even if they have a lower level of education in relevant subjects but substantial professional experience in a related field to support the lack of degree required. This, however, is a rare condition, and applicants are considered on an individual basis. 

Students from non-EU countries where English is not the native language must submit IELTS or TOEFL results to show English competence. Several UK universities also recognize PTE results, and these scores must be no more than two years old.

Tier4 UK Student VISA

To apply for a UK student visa, check the documents listed below for a seamless process.

• letter of acceptance from the university you have been accepted to (CAS)
• Proof of funds.
• A valid passport and recent photographs.
• Details of your university and accommodation.
• Report of your health checkup
• A valid passport. (keep a page blank for the visa)
• Original mark sheets/transcripts

After collecting all the documents, Follow the steps below to apply for a UK student’s Visa.

• Sign up and submit your visa application form online. It is advisable to check the online appointment calendar to book an appointment. After submission, you will get an email with an application number.
• After receiving the email, Pay the fees, and collect the receipt.
• Now appear for the visa interview as per the scheduled appointment and submit the necessary biometrics, photograph, application, and other documents.
• You will get your tier 4 student visa in 6 weeks time.

Zoom Abroad is a great platform that can help you find the best data mining programs for you in the UK. Register here and create your profile today to get matched with the best-fit data mining programs offered by the top UK universities. Book a 30 mins FREE consultation with an expert advisor today. Other than data mining there are a variety of programs available in the Engineering field like software engineering, mechanical, biotechnology, civil, computer, IT and, aeronautics. You can also explore Medicine and, Management programs like Marketing, International Business, Pr & Journalism to figure out which one is the most suitable based on your profile and long term goals.