Updated On 15 August 2022 & Read Time 5 minutes
Big data has witnessed a gradual upward trend in the past few years. With the growing economy, the demand for data science professionals has skyrocketed. For a long time, organisations struggled with anticipating, collecting, and evaluating data. Efficient usage of data science is the only possible solution here. With the increased demand, the quality of data science courses has improved significantly. The number of top-ranking universities introducing data science courses has also increased.
The study of data science includes various tools, algorithms, and principles that help collect and analyse backend information and data. Data science courses include various strategies to perform functions like preparing data for analysis, exploring, analysing, and visualising data, and building models with data using programming languages. Data science uses programming languages such as Python, R, Scala, and Java. Individuals pursuing such courses are equipped with the skills and knowledge to make prediction-based decisions. These future predictions result from statistical data collection through various sources like financial logs, text files, multimedia forms, sensors, and instruments.
Data science is an ever-evolving field. Data science courses help you gain various skills, like statistical analysis and computing; machine learning; deep learning; processing large datasets; data visualization; data wrangling; mathematics; programming; etc. Constant advancements and innovations have increased the importance of data science courses further.
All virtual aspects of business operations and strategies rely on data science. It helps organisations create stronger marketing campaigns and target advertising for increased product sales. Further, data science helps manage financial risks, detect fraudulent transactions, and prevent equipment breakdowns in industrial settings like manufacturing plants. Simply put, they help businesses create plans and strategies to increase efficiency while reducing costs. Aspects of data science are not only restricted to business. Various other sectors use data science. For example, the transportation industry uses data science to enhance the customer journey and experience. In construction companies, data science can improve decision-making by tracking activities like average time for completing tasks and materials-based expenses. The growing need for data science in such industries also creates various job opportunities in data science.
The United Kingdom is one of the best places to study data science. More than 75 UK institutes offer an MS in Data Science. Data Science UK Master’s courses take one year to complete, which is shorter than in the US and Canada. Merely completing the Data Science course is not enough; hands-on experience plays a key role in succeeding in this industry. If you study in the UK, your MS in Data Science degree will be recognised globally. This will qualify you for high-paying jobs in big companies. Universities in the UK keep their curricula updated to match contemporary industry trends.
You can apply for a bachelor's in data science after completing your 10+2. A Master's in Data Science requires a bachelor's degree in a relevant field. The relevant fields include cognitive science, electrical engineering, linguistics, mathematics, philosophy, physics, and psychology. Universities in the UK mandate English proficiency exams like IELTS, TOEFL, and Duolingo. Apart from this, documents like copies of the official academic transcript, personal statement, and updated resume are required. Data science courses in the UK will cost international students £23,000 to £25,000 per year, depending on the university they choose
The UK has a strong economy and has plenty of jobs for immigrants. If you choose to study data science in UK, placement opportunities are abundant. One of the greatest advantages of studying in the UK is the opportunity to learn from the experts in the field. Here are the top job opportunities after pursuing Data Science courses in UK:
The role of a data analyst is to collect, clean, and interpret data sets to solve a problem. The average income of a data analyst in the UK is approximately £36535.
The Database Administrator is responsible for collecting and securing the data. The average salary of a database administrator in the UK is approximately £25198.
They are responsible for developing the data infrastructure of an organization along with planning and implementing solutions to store and manage data for that organization. The average salary of a data architect in the UK is approximately £75158.
A statistician finds relevant data from the bulk raw data provided. This is followed by an analysis of data sets with specialized software to facilitate decision-making. The average salary of a statistician in the UK is approximately £40597.
Data Systems Developers
The data system developers design software and programs for the backend processing systems. These systems are indispensable for any business or organization. The average salary of data system developers in the UK is approximately £60,000.
It won't be wrong to say that the future belongs to data scientists. It is predicted that in the coming years, demand for data scientists will increase exponentially. Industries like management, healthcare, retail, and financial services need data scientists to keep up with constant advancements. Artificial intelligence (AI) uses automated solutions to find patterns in enormous data sets of a business. These patterns include information essential to business for decision-making.
Fulfill your dream of studying Data Science courses in the UK with Meridean Overseas Education Consultant (MOEC). We can help you study abroad. We assure you of our best support and guidance. You can mail your queries to email@example.com or call us at our toll-free number, 1800-1230-00011.