OTHM Level 7 Diploma in Data Science
London School of International ManagementFast Track | NVQ/RQF | Online
OTHM Level 7 Diploma in Data Science in 30 seconds
OTHM Level 7 Diploma in Data Science diploma enhances knowledge and abilities and establishes the methods for obtaining business oriented insights from data.
- 9 months, Self-paced
- Study online
- Leads to OTHM Level 7 Diploma in Data Science
- Includes tutor support, a certificate
- 6 modules, starting with Data Science Foundations
The Level 7 Diploma in Data Science is typically suitable for individuals who already possess a background in data science, computer science, mathematics, or a related field.
The Level 7 Diploma in Data Science can lead to various career opportunities and professional advancements in the field of data science.
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Summary
- Price
- £1,000 £1,400
- Funding options
- Flexible payment plan: £150 deposit, then £101 per month
- Study method
- Online
- Course format
- Delivery: Online. Assessment: Assessment is via assignment submission only.; No Exams
- Duration
- 9 months · Self-paced
- Level
- Advanced
- Qualification
- Regulated qualification - OTHM Level 7 Diploma in Data Science
- Additional info
- Tutor support Certificate(s) included Finance available
Overview
OTHM Level 7 Diploma in Data Science diploma enhances knowledge and abilities and establishes the methods for obtaining business oriented insights from data.
Certificates
Curriculum
6 units
Data Science Foundations 20 credits
Probability and statistics for data analysis 20 credits
Advanced Predictive Modelling 20 credits
Data Analysis and Visualisation 20 credits
Data Mining, Machine Learning and Artificial Intelligence 20 credits
Advanced Computing Research Methods 20 credits
Description
OTHM Level 7 Diploma in Data Science diploma enhances knowledge and abilities and establishes the methods for obtaining business oriented insights from data.
Proficiency in comprehending the dynamics of value and information dissemination within a firm is essential, as it enables the identification of potential business prospects.
Delivery Methods
To cater to different learning styles and preferences, the London School of International Management (LSIM) offers a range of flexible delivery methods, allowing learners to study in a way that suits their needs and schedules.
Learners will be able to:
- Access all course materials – including online modules, study guides, and written assignments.
- Receive expert tutor support throughout the course.
- Use the LSIM Online Learning Portal – available 24/7, providing a user-friendly platform for all study resources.
- Obtain detailed assignment briefings to guide assessment preparation.
- Access high-quality study notes designed to support learning and understanding.
- Receive assignment feedback and marks to monitor progress and improvement.
- Earn a fully accredited UK qualification upon successful completion.
- Get dedicated customer support via chat, telephone, or email (Monday to Friday).
- Enjoy full academic and administrative support from enrolment to course completion.
Duration
Level 7 Diploma in Data Science programme is available in two modes:- 06 Month (Fast Track)
- 09 Months
Accreditation
This Level 7 Diploma in Data Science is accredited by Ofqual awarding body.
Equivalences
Level 7 diplomas are located on the Regulated Qualifications Framework (RQF) and are recognised as being at the same level as Master’s degrees. However, they are shorter (120 credits), which means learners will have to proceed to the dissertation stage (60 credits) with an appropriate university to achieve a full Master’s qualification.
Assessment
- Assessment is via assignment submission only.
- No Exams
Who is this course for?
The Level 7 Diploma in Data Science is typically suitable for individuals who already possess a background in data science, computer science, mathematics, or a related field. This advanced level programme is designed for those who wish to deepen their knowledge and skills in the field of data science.Requirements
For entry onto the OTHM Level 7 Diploma in Data Science, learners must possess: An honours degree in related subject or UK level 6 diploma or an equivalent overseas qualification Mature learners with management experience (learners must check with the delivery centre regarding this experience prior to registering for the programme) Learner must be 21 years old or older at the beginning of the courseCareer path
The Level 7 Diploma in Data Science can lead to various career opportunities and professional advancements in the field of data science. Here are several potential outcomes for individuals who successfully complete this advanced level programme: Data Science Leadership Roles: Graduates may be well suited for leadership positions within data science teams, such as Chief Data Officer (CDO) or Data Science Manager, where they can oversee and guide data science initiatives. Advanced Data Scientist: Individuals can take on roles that require advanced expertise in data science, working on complex projects, developing advanced models, and providing strategic insights to organisations. Machine Learning Engineer: Specialising in machine learning, graduates may work on designing, implementing, and deploying machine learning models and algorithms for various applications. Big Data Architect: The programme’s focus on big data technologies can lead to roles where individuals design and implement architectures for handling and processing large volumes of data. Data analytics consultant: Graduates may choose to work as consultants, advising organisations on data analytics strategies, best practices, and the implementation of data driven decision making processes. Academic and Research Positions: Those inclined towards academia and research may pursue roles in universities or research institutions, contributing to the advancement of data science knowledge through research and teaching. The Level 7 Diploma in Data Science enables progress into or within employment and/or continue their further study.Questions and answers
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OTHM Level 7 Diploma in Data Science: FAQs
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