MSc Data Science RQF

Wednesday, 11 February 2026 15:09:00

International Students can apply

Apply Now     Viewbook

MSc Data Science RQF

Overview

MSc Data Science RQF

Designed for aspiring data scientists, the MSc Data Science RQF program equips students with advanced skills in data analysis, machine learning, and statistical modeling. Tailored for individuals seeking to excel in the rapidly evolving field of data science, this program offers hands-on experience with cutting-edge tools and techniques. Whether you are a recent graduate or a seasoned professional looking to upskill, this program will provide you with the knowledge and expertise needed to thrive in the data-driven world. Take the next step in your career and explore the possibilities with MSc Data Science RQF.

Embark on a transformative journey with our MSc Data Science RQF program, designed to equip you with the skills and knowledge needed to thrive in the rapidly evolving field of data science. Gain hands-on experience in big data analytics, machine learning, and data visualization through our cutting-edge curriculum. Our expert faculty will guide you through real-world projects, preparing you for lucrative career opportunities in industries such as finance, healthcare, and technology. Stand out in the competitive job market with a prestigious degree that showcases your expertise in data analysis and predictive modeling. Elevate your career prospects with our MSc Data Science RQF program. (15)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Data Mining and Machine Learning
• Big Data Technologies
• Statistical Analysis and Modelling
• Data Visualization
• Programming for Data Science
• Research Methods in Data Science
• Data Ethics and Privacy
• Natural Language Processing
• Deep Learning
• Time Series Analysis

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

6 months: GBP £1250
9 months: GBP £950
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

6 months - GBP £1250

9 months - GBP £950

Our course fee is up to 40% cheaper than most universities and colleges.

Apply Now

Accreditation

Awarded by an OfQual regulated awarding body

Apply Now

  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now

Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

| Career Opportunity | Description | | ------------------ | ----------- | | Data Scientist | Utilize statistical analysis and machine learning techniques to extract insights from large datasets. Primary keywords: Data Scientist, Statistical Analysis, Machine Learning. Secondary keywords: Big Data, Predictive Modeling. | | Data Analyst | Interpret data, analyze results, and provide ongoing reports. Primary keywords: Data Analyst, Data Interpretation, Data Analysis. Secondary keywords: Reporting, Visualization. | | Business Intelligence Analyst | Develop strategies for effective data analysis and reporting to support business decision-making. Primary keywords: Business Intelligence Analyst, Data Analysis, Decision-making. Secondary keywords: Strategy, Reporting. | | Data Engineer | Design, construct, install, test, and maintain highly scalable data management systems. Primary keywords: Data Engineer, Data Management, Scalability. Secondary keywords: System Design, Testing. | | Machine Learning Engineer | Develop and deploy machine learning models to solve complex business problems. Primary keywords: Machine Learning Engineer, Model Development, Problem-solving. Secondary keywords: Deployment, Optimization. |

Key facts about MSc Data Science RQF

The MSc Data Science RQF program is designed to equip students with the necessary skills and knowledge to excel in the field of data science. The learning outcomes include mastering data analysis techniques, understanding machine learning algorithms, and applying statistical methods to extract insights from data.
The duration of the MSc Data Science RQF program typically ranges from one to two years, depending on the institution and whether it is pursued on a full-time or part-time basis. Students can expect to engage in a combination of lectures, practical exercises, and independent research projects to deepen their understanding of data science concepts.
The industry relevance of the MSc Data Science RQF qualification is significant, as organizations across various sectors increasingly rely on data-driven insights to make informed decisions. Graduates with expertise in data science are in high demand, with opportunities in fields such as finance, healthcare, marketing, and technology. The practical skills acquired during the program enable graduates to tackle real-world data challenges and drive innovation within their respective industries.
Overall, the MSc Data Science RQF program offers a comprehensive curriculum that prepares students for a successful career in the dynamic and rapidly evolving field of data science. Graduates emerge with a deep understanding of data analysis techniques, machine learning algorithms, and statistical methods, positioning them as valuable assets in the data-driven economy.

Why this course?

The MSc Data Science RQF qualification holds significant importance in today's market, especially in the UK where the demand for data scientists is on the rise. According to recent statistics, the UK is facing a shortage of skilled data professionals, with job postings for data scientists increasing by 231% over the past five years. This surge in demand can be attributed to the growing reliance on data-driven decision-making across industries such as finance, healthcare, and technology. The MSc Data Science RQF program equips students with the necessary skills and knowledge to analyze complex data sets, extract valuable insights, and make informed business decisions. Graduates of this program are highly sought after by employers looking to harness the power of big data to drive innovation and growth. In a competitive job market, having a recognized qualification like the MSc Data Science RQF can give professionals a competitive edge and open up new career opportunities. By staying ahead of current trends and industry needs, individuals with this qualification can position themselves as valuable assets in today's data-driven economy. | UK Data Science Job Postings | 231% increase over 5 years | |-----------------------------|-------------------------------|

Who should enrol in MSc Data Science RQF?

The ideal audience for the MSc Data Science RQF program are individuals with a passion for data analysis and a desire to advance their career in the field of data science. This program is perfect for those who have a background in computer science, mathematics, or statistics and are looking to enhance their skills in data manipulation, visualization, and interpretation.

With the demand for data scientists on the rise, pursuing an MSc in Data Science can open up a world of opportunities. In the UK alone, the number of data scientist jobs has increased by 56% over the past year, making it a lucrative and in-demand career choice.

Whether you are a recent graduate looking to kickstart your career or a seasoned professional seeking to upskill, the MSc Data Science RQF program will provide you with the knowledge and expertise needed to excel in this fast-growing field.