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OTHM Level 7 Diploma in Data Science

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What you'll learn

The primary objective of the OTHM Level 7 Diploma in Data Science is to equip learners with the expertise to extract business-relevant insights from data. This entails understanding the flow of value and information within a business, enabling the identification of opportunities. Graduates will emerge as proficient and reflective practitioners, prepared for their current roles and future challenges.

OTHM offers a range of Level 7 Diploma qualifications tailored to industry needs. These qualifications provide learners with specialised, hands-on skills to effectively apply knowledge in the workplace, enhancing career prospects and enabling further academic pursuits.

Key Benefits

This qualification offers significant advantages:

  • Provides crucial subject knowledge for seamless progression into advanced studies or professional endeavours.
  • Features updated content closely attuned to employer and higher education requirements.
  • Equips learners with extensive proficiency in classical data analytics, encompassing statistical inference, predictive modelling, time series analysis, and data reduction.
  • Familiarise learners with the tools and techniques employed in data visualisation.
  • Evaluates cognitive skills alongside affective and applied abilities in assessments.

About Awarding Body

OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes.

  • Regulated by ofqual.gov.uk
  • Recognised by World Education Services (WES)

What is Included?

  1. Outstanding Tutor Support: EDVORO provides consistent and helpful guidance throughout the course. Learners can seek assistance through the EDVORO Support Desk Portal.
  2. Cutting-Edge Learning Management Platform: Access to a modern platform that contains essential learning resources and facilitates communication with the support desk team.
  3. Quality Learning Materials include well-structured lecture notes, study guides, and practical applications. Real-world examples and case studies are integrated to help learners apply their knowledge effectively. These materials are available in well-structured pathway books, letter notes, PDF, PowerPoint, or Interactive Text Content formats on the learning portal.
  4. Formative Assessment Feedback: Tutors provide feedback on formative assessments, helping learners improve their achievements throughout the program.
  5. Summative Assessment feedback: Tutors provide feedback on summative assessments; this kind of feedback can be instrumental in helping students achieve their academic goals.  
  6. Accessible Assessment Materials: All assessment materials are conveniently accessible through the online learning platform.
  7. Supervision for All Modules: This suggests that oversight and guidance are provided for every module of the course.
  8. Multiplatform Accessibility: Learners can access course materials through various devices such as smartphones, laptops, tablets, or desktops. This flexibility allows students to study at their convenience.
  9. Limitless Learning Opportunities: EDVORO offers a range of innovative online and blended learning experiences to help learners expand their knowledge.
  10. Blended Learning Approach: A blend of online and classroom study for convenience.
  11. Convenience, Flexibility, Support, and User-Friendliness: Core principles of online learning at EDVORO

Assessment

  • Assignment-based Assessment (Time-constrained)
  • No exam

Entry Requirements

 

To enrol in the OTHM Level 7 Diploma in Data Science program, learners should meet the following criteria:

  • Hold an honours degree in a related field, a UK level 6 diploma, or an equivalent international qualification.
  • Mature learners with managerial experience should confirm their eligibility with the delivery centre before registering.
  • Learners must be at least 21 years old at the start of the course.

English Language Proficiency: If a learner is not a native English speaker, they must demonstrate proficiency in the English language.


Progression

  • The OTHM Level 7 Diploma in Data Science equips graduates with advanced skills in extracting valuable insights from data. This qualification opens doors to roles like Data Scientist, Analyst, or Business Intelligence Manager. Graduates may also pursue further studies in data-related fields or advance their careers.

Why gain Qualification

  • OTHM diplomas offer international recognition, widening global career prospects.
  • They signify a high standard of education, boosting employability and income potential.
  • Programs reviewed by highly qualified experts in the relevant sector.
  • OTHM programs emphasise practical skills, ensuring graduates are job-ready.
  • Flexibility in learning options accommodates diverse schedules and commitments.
  • Industry-specific focus provides in-depth expertise, which is crucial in competitive job markets.
  • Networking opportunities foster valuable professional connections.
  • OTHM offers specialised business diplomas, ideal for aspiring entrepreneurs.
  • OTHM qualifications ease compliance with regulatory requirements in specific fields.
  • OTHM diplomas empower personal and professional growth in today's competitive landscape.
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Course Content

Reference No : F/650/5562

Data science amalgamates robust computing technology, advanced statistical techniques, and specialized domain expertise to dissect and extract actionable insights from the extensive data generated by organizations in today's business landscape. This unit's objective is to acquaint learners with a spectrum of data science principles, encompassing data management, governance, and the sources of big data.

Credit : 20 || TQT : 200

Reference No : H/650/5563

This unit aims to offer a comprehensive introduction to the foundational principles of probability and statistics. It will cover essential possibilities and statistical methods relevant to data science, along with various data analytic processes and techniques.

Credit : 20 || TQT : 200

Reference No : J/650/5564

This unit serves as an introduction to prevalent predictive modelling techniques and their fundamental principles. It establishes a strong groundwork in predictive analytics, involving tools and methodologies for constructing statistical or machine learning models to generate predictions from data. Additionally, you will acquire skills in conducting exploratory data analysis for insights and data preparation in predictive modelling.

Credit : 20 || TQT : 200

Reference No : K/650/5565

This unit is crucial for comprehending the foundational steps of the data analysis workflow, encompassing data collection, cleansing, analysis, and dissemination of findings. It emphasizes the use of visualizations and dashboard tools for effective communication of insights. Students undertaking this unit will gain practical exposure to executing data analytic processes and techniques, utilizing programming languages like Python or R, as well as tools such as Weka, KNIME, PowerBI, Excel, etc.

Credit : 20 || TQT : 200

Reference No : J/650/5573

This unit aims to familiarize students with the science underpinning machine intelligence and the philosophical discourse surrounding the endeavour to emulate human intelligence for practical problem-solving. It provides insights into various types and applications of AI, enhancing comprehension of intelligent agents. Additionally, students will grasp essential concepts and acquire practical skills to deploy machine learning principles in tackling complex real-world issues.

Credit : 20 || TQT : 200

Reference No : L/650/5566

This unit seeks to empower learners in crafting research proposals for diverse forms of academic computing research. It fosters a discerning grasp of the philosophical, practical, and ethical aspects of study within the computing domain.

Credit : 20 || TQT : 200

Delivery Methods

The program is delivered by Edvoro, a flagship of the School of Business and Technology London, and awarded by OTHM; Edvoro offers a range of flexible delivery methods to cater to the diverse needs of its learners. These options include online and blended learning, allowing learners to select the mode of study that best suits their preferences and schedules. The program is designed to be self-paced and is facilitated through Edvoro's state-of-the-art Learning Management System.

Edvoro ensures learners can engage with their tutors through the Edvoro Support Desk Portal System. This platform enables learners to discuss course materials, seek guidance and assistance, and request feedback on their assignments, fostering a dynamic and interactive learning experience.

Edvoro stands out by providing exceptional support and infrastructure for online and blended learning formats. We have adopted an innovative approach to learning, replacing traditional classroom-based instruction with web-based learning while maintaining an exceptionally high level of support. Learners who enrol at Edvoro benefit from the dedicated guidance of a tutor throughout their learning journey, ensuring comprehensive support from beginning to end, whether they choose the online or blended learning option.

Resources and Support

Edvoro is committed to providing unwavering support throughout your educational journey. Our dedicated support team is a crucial link between tutors and learners, ensuring that guidance, assessment feedback, and additional study assistance are delivered promptly and effectively. When a learner submits a support request via the support desk portal for advice, assessment feedback, or any other service, one of the support team members assigns the request to an appropriate tutor. Once the support team receives a response from the allocated tutor, the information is promptly made accessible to the learner through the portal. This structured support system is designed to assist learners and streamline support processes efficiently.

Edvoro's competitive edge is enhanced by the high-quality learning materials crafted by industry experts. The learning materials encompass well-structured pathway books, letter notes, practical applications with real-world examples, and case studies that empower learners to apply their knowledge effectively. Learning materials are conveniently accessible in one of three formats, PDF, PowerPoint, or Interactive Text Content, through the learning portal, providing learners with versatile options for accessing and engaging with the content.

Study Options
  • Duration 12 Months
  • Credits 120
  • Accreditation Ofqual.Gov.UK
  • Intake Every Month
  • Study Mode Online / Blended
  • Course Materials: Well Structured
  • All Inclusive Cost Yes
  • Tutor Desk Yes
  • Support Desk Yes
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