Level 3 Diploma in Data Science (Fast Track)

Reference Material: Online Library Books

15 readings
Reading: Reference Material: E-Library Access Codes
Reading: E-Library Books: Graphs and Graph Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Synthetic Data for Privacy and Security in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: K-means Clustering in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Decision Trees in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Logistic Regression in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Linear Regression in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: The Machine Learning Process – L3-QUA-DipDataScience
Reading: E-Library Books: Machine Learning Methods and Models in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Data Analytics with Python – L3-QUA-DipDataScience
Reading: E-Library Books: Fundamentals of Data Analytics – L3-QUA-DipDataScience
Reading: E-Library Books: Data and Descriptive Statistics in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Creating and Interpreting Visualizations in Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: Python for Data Science – L3-QUA-DipDataScience
Reading: E-Library Books: The Field of Data Science – L3-QUA-DipDataScience

Reference Material: External Study Links

14 readings
Reading: Study Links: Graphs and Graph Data Science – L3-QUA-DipDataScience
Reading: Study Links: Synthetic Data for Privacy and Security in Data Science – L3-QUA-DipDataScience
Reading: Study Links: K-means Clustering in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Decision Trees in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Logistic Regression in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Linear Regression in Data Science – L3-QUA-DipDataScience
Reading: Study Links: The Machine Learning Process – L3-QUA-DipDataScience
Reading: Study Links: Machine Learning Methods and Models in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Data Analytics with Python – L3-QUA-DipDataScience
Reading: Study Links: Fundamentals of Data Analytics – L3-QUA-DipDataScience
Reading: Study Links: Data and Descriptive Statistics in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Creating and Interpreting Visualizations in Data Science – L3-QUA-DipDataScience
Reading: Study Links: Python for Data Science – L3-QUA-DipDataScience
Reading: Study Links: The Field of Data Science – L3-QUA-DipDataScience

Important documents

This section provides you with some important information that you should adhere to succeed in your course

4 readings
Reading: LS-4.1.0-Sample-Template-for-Assignments
Reading: LS-5.1.0-Assignment-Plagiarism-Report
Reading: LS-6.1.0-E-Library-Access
Reading: LS-7.1.0-Assignment-Submission-Guidelines
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Level 3 Diploma in Data Science (Fast Track)

Level 3 Diploma in Data Science (Fast Track) – Progress to BSc (Hons) Business Computing and IT

£900

Pay in Full Pay in Instalments

Total course fee can be paid in Instalments.
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Level 3 Diploma in Data Science (Fast Track) at LSBR, UK

About this course

Level 3 Diploma in Data Science (Fast Track)

The Level 3 Diploma in Data Science is a foundation course offered by the London School of Business and Research (LSBR). It is designed to provide students with a comprehensive understanding of the fundamental principles and techniques used in the field of data science. This diploma program aims to equip learners with the necessary knowledge and skills to manipulate, analyse, and interpret data effectively.

The Level 3 Diploma in Data Science from LSBR provides a current and comprehensive overview of data science, artificial intelligence, and machine learning, ranging from the early days of artificial intelligence and machine learning in the late 1950s to the dawn of the “big data” era in the early 2000s, as well as current applications of AI and machine learning and the various challenges that come with them. The program introduces learners to two new fascinating and rising fields of data science: synthetic data and graph data science, in addition to the conventional machine learning methods of linear and logistic regression, decision trees, and k-means clustering.

The Level 3 Diploma in Data Science also introduces students to the data analytical environment and associated analytical tools, as well as teaching beginning Python so that students can analyse, explore, and visualise data and execute a variety of basic data science models.
Overall, the Level 3 Diploma in Data Science offered by the London School of Business and Research provides a valuable stepping stone for individuals interested in kickstarting their career in data science and gaining a strong understanding of the fundamentals in this rapidly growing field.

IMPORTANT INFO

Foundation Level Course

This course help you to progress to:

First year of 3 year Honours Degree at UK University, or

High Credit Diploma course - Combined Level 4 + Level 5 Diploma in Cyber Security (240 Credits), or

BSc (Hons) Business Computing and Information Systems degree (speak to the Admissions team for details), or

BEng (Hons) in Software Engineering, or

Level 4 Diploma in Data Science

Level 4 Diploma in Cyber Security, or

Directly into employment in an associated profession

This qualification is Accredited by OfQual (Office of the Qualifications and Examinations Regulation), which is a UK Government body.

Qualification Number: 610/1950/1

LSBR, UK - Over 88 Percent Student Satisfaction Rate
LSBR, UK - Celebrate St.Patrick's Day with £400 off upfront payment of course fee

Program Overview: Level 3 Diploma in Data Science (Fast Track)

Key Highlights of this Level 3 Diploma in Data Science (Fast Track) qualification are:

Program Duration: Fast Track 6 months (Regular 9 months course also available)

Program Credits: 60

Designed for working Professionals

Format: Online

No Written Exam. The Assessment is done via Submission of Assignment

Tutor Assist available

Dedicated Student Success Manager

Timely Doubt Resolution

Regular Networking Events with Industry Professionals

Become eligible to gain direct entry into relevant Undergraduate degree programme.

Alumni Status

No Cost EMI Option

LSBR Sample Award Certificate
LSBR, UK Qualifi Level 3 Diploma in Data Science (Fast Track)

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    Learning Outcomes of this Level 3 Diploma in Data Science (Fast Track) qualification

    The programme offered provides the opportunity for individuals to forge a career in a specific area of business by seeking a greater knowledge and understanding of data science, and to support the individual’s development into senior positions. The Level 3 Diploma in Data Science aims to give learners the opportunity to:
    1. Gain the mathematical and statistical knowledge and understanding required to conduct basic data analysis.
    2. Develop analytical and machine learning skills with Python.
    3. Develop a strong understanding of data and data processes, including data cleaning, data structuring, and preparing data for analysis and visualisation.
    4. Understand the data science landscape and ecosystem, including relational databases, graph databases, programming languages such as Python, visualisation tools, and other analytical tools.
    5. Understand the machine learning processes, understanding which algorithms to apply to different problems, and the steps required build, test and verify a model.
    6. Develop an understanding of contemporary and emerging areas of data science, and how they can be applied to modern challenges.

    Career Progression after Level 3 Diploma in Data Science (Fast Track)

    Learners completing the Level 3 Diploma in Data Science (Fast Track mode) progress to:

    As our Qualifi accredited qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation), learners are also eligible to progress to a Top-Up Degree, Master’s programme, or MBA at many universities in UK and Overseas with advanced standing.

    Payment Plans

    You can pay your course fee in monthly instalments:

    Choose from some of the best options available:


    –  3 Monthly Instalments of £466 each


    –  2 Monthly Instalments of £700 each


    –  One time payment of £1,399


    Think Smart with LSBR, UK

    Frequently Asked Questions

    What is the Entry Requirement?

    Level 3 Diploma in Data Science (Fast Track)

    This Level 3 Diploma in Data Science (Fast Track) (Accredited by Qualifi, UK) qualifications has been designed to be accessible without artificial barriers that restrict access and progression. Entry to the qualification will be through centre interview and learners will be expected to hold the following:

    OR

    • A Level 3 qualification in another discipline and want to develop their careers in Data Science, Cyber Security or Information Technology.

    In certain circumstances, learners with considerable experience but No formal qualifications may be considered, subject to interview and being able to demonstrate their ability to cope with the demands of the programme.

    The qualification is offered in English.

    What are the modules covered?

    Below please find the units covered in Level 3 Diploma in Data Science (Fast Track)

    • The Field of Data Science
    • Python for Data Science
    • Creating and Interpreting
    • Visualisations in Data Science
    • Data and Descriptive Statistics in Data Science
    • Fundamentals of Data Analytics
    • Data Analytics with Python
    • Machine Learning Methods and Models in Data Science
    • The Machine Learning Process
    • Linear Regression in Data Science
    • Logistic Regression in Data Science
    • Decision Trees in Data Science
    • K-means Clustering in Data Science
    • Synthetic Data for Privacy and Security in Data Science
    • Graphs and Graph Data Science
    What is Level 3 qualification Equivalent to?

    The qualifications at RQF Level 3 represent practical knowledge, skills, capabilities and competences that are assessed in academic terms as being equivalent to GCE AS / A-Levels.

    How is Assessment done?
    • Assessment is done via submission of Assignments
    • There are no written exams
    Is the Qualification Accredited?
    The qualification is delivered by London School of Business and Research (LSBR) and it is awarded by Qualifi, UK – an Awarding body by the UK Government’s regulator – OfQual (Office of the Qualifications and Examinations Regulation). All of the qualifications are listed on the OfQual register.
    Can the course fee be paid in Instalments?
    Yes, the course fee can be paid in Instalment.

    Please click on “Enrol Now” button on the top and choose some of the best payment options available for you.

    Online Resource

    Our virtual learning environment provides all the information you'll need to succeed on your course. Here you will find recordings of lectures as well as study material, learning resources and reading lists.

    Library

    Our virtual library is open 24 hours a day during your term-time. This extensive e-library has over 600,000 eBooks and 100,000 eJournals.

    More Course Option

    Syllabus

    The Level 3 Diploma in Data Science is a foundation course offered by the London School of Business and Research (LSBR). It is designed to provide students with a comprehensive understanding of the fundamental principles and techniques used in the field of data science. This diploma program aims to equip learners with the necessary knowledge and skills to manipulate, analyse, and interpret data effectively. The Level 3 Diploma in Data Science from LSBR provides a current and comprehensive overview of data science, artificial intelligence, and machine learning, ranging from the early days of artificial intelligence and machine learning in the late 1950s to the dawn of the "big data" era in the early 2000s, as well as current applications of AI and machine learning and the various challenges that come with them. The program introduces learners to two new fascinating and rising fields of data science: synthetic data and graph data science, in addition to the conventional machine learning methods of linear and logistic regression, decision trees, and k-means clustering. The Level 3 Diploma in Data Science also introduces students to the data analytical environment and associated analytical tools, as well as teaching beginning Python so that students can analyse, explore, and visualise data and execute a variety of basic data science models. Overall, the Level 3 Diploma in Data Science offered by the London School of Business and Research provides a valuable stepping stone for individuals interested in kickstarting their career in data science and gaining a strong understanding of the fundamentals in this rapidly growing field.

    Mandatory Units 0/14

    (Total Credits: 60)

    This qualification consists of 15 mandatory units for a combined total of 60 credits

    Reference Material: Online Library Books 0/15

    15 readings
    Reading: Reference Material: E-Library Access Codes
    36 weeks
    Reading: E-Library Books: Graphs and Graph Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Synthetic Data for Privacy and Security in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: K-means Clustering in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Decision Trees in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Logistic Regression in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Linear Regression in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: The Machine Learning Process – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Machine Learning Methods and Models in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Data Analytics with Python – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Fundamentals of Data Analytics – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Data and Descriptive Statistics in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Creating and Interpreting Visualizations in Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: Python for Data Science – L3-QUA-DipDataScience
    4 weeks
    Reading: E-Library Books: The Field of Data Science – L3-QUA-DipDataScience
    4 weeks

    Reference Material: External Study Links 0/14

    14 readings
    Reading: Study Links: Graphs and Graph Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Synthetic Data for Privacy and Security in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: K-means Clustering in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Decision Trees in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Logistic Regression in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Linear Regression in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: The Machine Learning Process – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Machine Learning Methods and Models in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Data Analytics with Python – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Fundamentals of Data Analytics – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Data and Descriptive Statistics in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Creating and Interpreting Visualizations in Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: Python for Data Science – L3-QUA-DipDataScience
    8 weeks
    Reading: Study Links: The Field of Data Science – L3-QUA-DipDataScience
    8 weeks

    Important documents 0/4

    This section provides you with some important information that you should adhere to succeed in your course

    4 readings
    Reading: LS-4.1.0-Sample-Template-for-Assignments
    minutes
    Reading: LS-5.1.0-Assignment-Plagiarism-Report
    minutes
    Reading: LS-6.1.0-E-Library-Access
    minutes
    Reading: LS-7.1.0-Assignment-Submission-Guidelines
    minutes

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