Overview of Data Science and Analytics

We are floating in the sea of data. Collecting, storing and saving data or information is very important. Nowadays, weather the data are simple or complex we need experts of Data Science and Analytics to sort them out. So, mathematics and computing can only ease these processes and help us.

Data science and analytics is a subject of combining math, geography and computing. There are many different types of skills in this field to learn. Again, a graduate of relevant degree can go for this master’s to secure a bright career.


  • Machine Learning
  • Data science
  • Data mining
  • Database
  • Algorithm
  • Text analytics
  • Data/information visualization
  • Advanced computing

Course Details

Data Science and Analytics course will educate graduates of relative subjects with advanced skills. They will meet the challenges of modern data science and analytics. The expert lecturers will introduce them with advanced math, statistics and computing modules. The course will equip them with practical labs and theories also. Thus the students will learn to solve real-world problems of both the fields.

Entry Requirements

  1. A bachelor’s of relevant course with good academic results
  2. In some universities there many content-specific requirements.
  3. English language test: Minimum 6 in IELTS, TOEFL.

Fee range

£14,000 – £26,000 per year


  • Twelve scholarships for Data Science and Analytics MSc are available in Brunel University
  • Cardiff University offers Master’s Excellence Scholarship
  • Postgraduate Master’s Finance is available in Cardiff University


Depending on the various sectors and expertise of this field there are many options of works. The options include, industry, business, government and research. Graduates can prefer to start their career as Analytics consultants, data scientists, data engineer, and as teachers and so on. A study say that the average salary of a data scientist in the UK is £53,753 per year. They may also choose to work outside of the UK with many facilities.


Is data science in demand in UK?

Recent research indicates that data science is one of the most in-demand occupations in the UK. In particular, machine learning has grown in importance as businesses rely on massive amounts of data produced by AI to streamline decision-making in real time.

Is data analysis a good career UK?

Earning potential and advantages are high for data analysts. Your actual take-home salary will be determined by criteria such as your industry, level of education, and years of experience. For instance, a data analyst with a bachelor's degree will make significantly less money than one with a master's or doctorate.

Is data analytics a stressful job?

Several experts in the field of data have described data analytics as a highly demanding profession. If a job in data analytics and science has been on your mind, now is the time to do some research and reevaluate your options.

What is Data Science and Analytics?

Data Science and Analytics is an interdisciplinary field that combines mathematics, statistics, computer science, and domain knowledge to extract insights and knowledge from structured and unstructured data. It involves collecting, organising, analysing, and interpreting data to make data-driven decisions and solve complex problems.

Why should I study Data Science and Analytics in the UK?

The UK is known for its high-quality education system and is home to several prestigious universities that offer excellent programmes in Data Science and Analytics. Studying in the UK will provide you with access to cutting-edge research, industry partnerships, and a vibrant data science community.

What are the entry requirements for studying Data Science and Analytics in the UK?

Entry requirements vary between universities, but typically, you'll need a strong background in mathematics, statistics, and computer science. Most universities also require a good undergraduate degree (usually in a relevant field) and may have additional requirements such as English language proficiency tests.

What are the typical subjects covered in a Data Science and Analytics programme?

Data Science and Analytics programmes usually cover a range of subjects, including statistics, machine learning, data mining, programming, database management, data visualisation, and data ethics. The curriculum may vary between universities, so it's advisable to review the specific programme details of the universities you are interested in.

Apply for this course

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