MBA Data Science RQF level

Wednesday, 11 February 2026 18:44:59

International Students can apply

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MBA Data Science RQF level

Overview

MBA Data Science RQF Level:

Designed for business professionals seeking advanced skills in data analysis and strategic decision-making. This program combines business acumen with technical expertise to drive innovation and competitive advantage. The audience includes aspiring data scientists, business analysts, and executives looking to harness the power of data for organizational success. Gain hands-on experience with cutting-edge tools and techniques, and learn to interpret complex data to drive business growth. Elevate your career with an MBA in Data Science at RQF level and unlock new opportunities in the dynamic field of data analytics.


Explore the future of business intelligence today!

Embark on a transformative journey with our MBA Data Science RQF level program, designed to equip you with the skills and knowledge needed to thrive in the rapidly evolving world of data analytics. Gain a deep understanding of statistical analysis, machine learning, and data visualization, while honing your business acumen through strategic decision-making and leadership training. Our cutting-edge curriculum, taught by industry experts, will prepare you for lucrative career opportunities in fields such as consulting, finance, and technology. Stand out in a competitive job market with a prestigious MBA qualification that combines business expertise with advanced data science capabilities. Elevate your career prospects with this unique and highly sought-after program. (11)

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 Analysis and Visualization
• Machine Learning
• Statistical Methods for Business
• Big Data Analytics
• Data Mining
• Predictive Analytics
• Business Intelligence
• Data Warehousing
• Data Ethics and Privacy
• Research Methods in Data Science

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

40% Cheaper

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

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Accreditation

 Awarded by an OfQual regulated awarding body

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  • 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
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Business Intelligence Analyst Utilize data analysis tools to interpret complex data sets and provide actionable insights for business decision-making.
Data Scientist Apply statistical analysis and machine learning techniques to extract valuable information from large datasets.
Data Engineer Design and build scalable data pipelines to collect, process, and store data for analysis.
Quantitative Analyst Develop mathematical models and algorithms to analyze financial data and support investment decisions.
Machine Learning Engineer Build and deploy machine learning models to automate processes and improve predictive capabilities.

Key facts about MBA Data Science RQF level

The MBA Data Science RQF level program is designed to equip students with advanced knowledge and skills in data science, enabling them to make informed business decisions based on data analysis and interpretation. The learning outcomes include understanding data mining techniques, statistical analysis, machine learning algorithms, and data visualization tools.
The duration of the MBA Data Science RQF level program typically ranges from 12 to 24 months, depending on the institution and study mode. Students can expect to engage in a combination of lectures, workshops, case studies, and practical projects to enhance their understanding and application of data science concepts in real-world scenarios.
The industry relevance of the MBA Data Science RQF level qualification is significant, as businesses across various sectors increasingly rely on data-driven insights to drive strategic decision-making and gain a competitive edge. Graduates with this qualification are well-positioned to pursue career opportunities in data analysis, business intelligence, data engineering, and other related fields, making them highly sought after in the job market.

Why this course?

The MBA Data Science RQF level holds significant importance in today's market, especially in the UK where the demand for data science professionals is on the rise. According to recent statistics, the UK is facing a shortage of over 40,000 data science professionals, highlighting the urgent need for skilled individuals in this field. The MBA Data Science RQF level provides learners with a comprehensive understanding of data analysis, machine learning, and statistical modeling, equipping them with the necessary skills to thrive in the data-driven economy. This qualification not only enhances career prospects but also opens up a wide range of opportunities in various industries such as finance, healthcare, and technology. In a competitive job market, having an MBA Data Science RQF level can give professionals a competitive edge, making them more attractive to employers seeking individuals with advanced data science skills. With the increasing reliance on data-driven decision-making, the demand for data science professionals is expected to continue growing, making this qualification highly valuable in today's market. [table style="border-collapse: collapse; border: 1px solid black;"] [tr] [td]UK Data Science Professionals Shortage[/td] [td]40,000[/td] [/tr] [/table]

Who should enrol in MBA Data Science RQF level?

Ideal Audience for MBA Data Science RQF Level | Criteria | Description | |----------|-------------| | Education | Bachelor's degree in a related field | | Experience | 2+ years in data analysis or business intelligence | | Skills | Proficient in programming languages like Python and R | | Career Goals | Seeking advancement in data-driven roles | | Location | Based in the UK (optional) | Prospective learners interested in pursuing an MBA Data Science RQF level should have a strong educational background, with a bachelor's degree in a related field. Additionally, having at least 2 years of experience in data analysis or business intelligence is beneficial. Proficiency in programming languages such as Python and R is essential for success in this program. Individuals looking to advance their careers in data-driven roles will find this qualification particularly valuable. For those based in the UK, pursuing an MBA Data Science RQF level can open up new opportunities in the growing field of data science.