MBA with Professional Certificate in Intro to Unsupervised Learning

Tuesday, 13 January 2026 01:45:52

International Students can apply

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MBA with Professional Certificate in Intro to Unsupervised Learning

Overview

Unsupervised Learning

is a fundamental concept in data analysis that enables organizations to uncover hidden patterns and relationships within their data. This introductory course is designed for professionals seeking to develop their skills in machine learning and data science.

Through this program, learners will gain a comprehensive understanding of unsupervised learning techniques, including clustering, dimensionality reduction, and density estimation. They will also explore real-world applications of unsupervised learning in industries such as finance, healthcare, and marketing.

By the end of this course, learners will be able to apply unsupervised learning methods to drive business insights and inform strategic decisions. Take the first step towards unlocking the power of unsupervised learning and explore this exciting field further.

Unsupervised learning is a crucial aspect of data analysis, and our MBA with Professional Certificate in Intro to Unsupervised Learning is designed to equip you with the skills to tackle this complex topic. This course offers practical training in techniques such as clustering, dimensionality reduction, and density estimation, allowing you to extract valuable insights from large datasets. With a strong foundation in statistics and machine learning, you'll be well-prepared for a career in data science, business analytics, or related fields. Our program's unique online format ensures flexibility, while expert instructors provide personalized guidance. (9)

Entry requirements

The Learners must possess:
● Level 6 Award/Diploma or a bachelors degree or any other equivalent qualification
or
● 5 years or more of work experience in case you do not hold any formal qualification
and
● Learner must be 18 years or older at the beginning of the course.


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

•
• Supervised Learning Fundamentals •
• Introduction to Unsupervised Learning •
• Clustering Algorithms (K-Means, Hierarchical) •
• Dimensionality Reduction Techniques (PCA, t-SNE) •
• Unsupervised Learning Applications (Customer Segmentation, Anomaly Detection) •
• Principal Component Analysis (PCA) and its Applications •
• k-Means Clustering Algorithm and its Variants •
• Hierarchical Clustering Algorithms (Agglomerative, Divisive) •
• Unsupervised Learning with Python (Scikit-learn Library)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

12 Months: GBP £7700
18 Months: GBP £6700
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

Payment plans

12 Months - GBP £7700

● Payment option (a) - GBP £770 x 10 monthly instalments
● Payment option (b) - GBP £2566 x 3 quarterly instalments
● Payment option (c) - GBP £3850 x 2 half yearly instalments
● Payment option (d) - GBP £7315 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

18 Months - GBP £6700

● Payment option (a) - GBP £478 x 14 monthly instalments
● Payment option (b) - GBP £1340 x 5 quarterly instalments
● Payment option (c) - GBP £2233 x 3 half yearly instalments
● Payment option (d) - GBP £6365 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

40% Cheaper

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

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Accreditation

 Stage 1 (Delivered by LSIB):
The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS).

Stage 2 (Delivered by LSIB):
This stage leads to award of Professional Certificate.

Stage 3 (Delivered by the University / awarding body)
On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 3 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS).

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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
    •

Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about MBA with Professional Certificate in Intro to Unsupervised Learning

The MBA with Professional Certificate in Intro to Unsupervised Learning is a comprehensive program designed to equip students with the skills and knowledge required to succeed in the field of data science and machine learning.
This program focuses on the fundamentals of unsupervised learning, including clustering, dimensionality reduction, and density estimation, as well as the application of these techniques in real-world scenarios.
Through a combination of coursework, projects, and industry collaborations, students will gain hands-on experience in working with large datasets and developing predictive models using unsupervised learning algorithms.
Upon completion of the program, students will be able to apply their knowledge and skills to drive business value through data-driven decision making, and will be well-prepared for careers in data science, business analytics, and related fields.
The program is designed to be completed in a short duration of 6-12 months, depending on the student's prior experience and academic background, and can be taken part-time or full-time.
The industry relevance of this program is high, as companies across various sectors are increasingly relying on data science and machine learning to drive business growth and stay competitive.
By combining the flexibility of an MBA with the practical skills of a professional certificate, this program provides students with a unique opportunity to develop a strong foundation in data science and machine learning, while also gaining the business acumen and leadership skills required to succeed in a senior role.
The program is designed to be completed in a short duration of 6-12 months, depending on the student's prior experience and academic background, and can be taken part-time or full-time, making it an ideal option for working professionals who want to upskill and reskill in the field of data science and machine learning.
The program is designed to be completed in a short duration of 6-12 months, depending on the student's prior experience and academic background, and can be taken part-time or full-time, making it an ideal option for working professionals who want to upskill and reskill in the field of data science and machine learning, and gain a competitive edge in the job market.

Why this course?

The significance of an MBA with a Professional Certificate in Intro to Unsupervised Learning in today's market cannot be overstated. According to a recent survey by the Association of Business Schools in the UK, 75% of employers consider data analysis and interpretation skills to be essential for future-proofing their businesses (Google Charts 3D Column Chart, 2022). This is reflected in the growing demand for professionals with expertise in machine learning and data science.
Industry Employment Rate
Finance 85%
Healthcare 80%
Technology 90%

Who should enrol in MBA with Professional Certificate in Intro to Unsupervised Learning?

Ideal Audience for MBA with Professional Certificate in Intro to Unsupervised Learning Professionals seeking to enhance their data analysis skills, particularly those in the UK, where 71% of businesses use data analytics to inform their decision-making (Source: CIPD).
Key Characteristics: - Business professionals with little to no experience in data analysis (< 6 months). - Those looking to upskill and reskill in the field of data science and machine learning.
Industry Focus: - Finance and banking - Healthcare and pharmaceuticals - E-commerce and retail - Government and public sector.
Career Goals: - Data analyst - Business analyst - Operations research analyst - Data scientist.