OTHM Level 7 Diploma in Data Science

Unleash the power of data with the OTHM Level 7 Diploma in Data Science. In today’s data-driven world, expertise in data science is essential for unlocking insights, driving innovation, and making informed decisions. Whether you’re a seasoned professional or just starting your journey in the field of data science, this diploma equips you with the knowledge and skills to excel. Dive deep into the realms of machine learning, data analytics, and predictive modeling, and emerge as a proficient data scientist poised to tackle real-world challenges.

Our comprehensive curriculum is designed by industry experts to provide hands-on experience with cutting-edge tools and techniques used in data science. From Python programming to data visualization and Big Data technologies, every aspect of the program is carefully crafted to ensure you develop a robust foundation in data science concepts and practical skills. Through project-based learning and real-world case studies, you’ll gain invaluable experience solving complex data problems and applying your knowledge in a variety of contexts.

Join a vibrant community of learners and practitioners passionate about harnessing the power of data to drive innovation and create impact. With flexible study options and personalized support from experienced instructors, you’ll have the opportunity to tailor your learning journey to fit your schedule and goals. Whether you’re looking to advance your career, pivot into a new field, or simply deepen your understanding of data science, the OTHM Level 7 Diploma is your gateway to success in the dynamic world of data. Enroll today and embark on a transformative journey towards becoming a data science expert.

Program Highlights

The OTHM Level 7 Diploma in Data Science consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 480 Guided Learning Hours (GLH) for the completed qualification.

Mandatory Units

Sr#Unit Title
1Data Science Foundations
2Probability and statistics for data analysis
3Advanced Predictive Modelling
4Data Analysis and Visualisation
5Data Mining, Machine Learning and Artificial Intelligence
6Advanced Computing Research Methods

For entry onto the OTHM Level 7 Diploma in Data Science qualification, 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 course

English requirements: If a learner is not from a majority English-speaking country must provide evidence of English language competency.


Upon completion of the OTHM Level 7 Diploma in Data Science, learners will be able to:

  1. Demonstrate comprehensive understanding of fundamental concepts, theories, and principles in data science, including statistical analysis, machine learning algorithms, and data mining techniques.
  2. Apply advanced programming languages, such as Python and R, to manipulate, analyze, and visualize large datasets effectively.
  3. Utilize a variety of tools and technologies, including data visualization libraries, SQL databases, and Big Data frameworks, to extract meaningful insights from diverse data sources.
  4. Design and implement predictive models and algorithms to solve complex problems and make data-driven decisions in various domains, such as finance, healthcare, marketing, and technology.
  5. Evaluate the performance of machine learning models and techniques using appropriate metrics and validation methods to ensure accuracy, reliability, and scalability.
  6. Explore ethical considerations and legal implications related to data collection, storage, analysis, and privacy, adhering to industry best practices and regulatory standards.
  7. Collaborate effectively in multidisciplinary teams, communicating technical concepts and findings to diverse stakeholders, including non-technical audiences.
  8. Apply critical thinking and problem-solving skills to identify, formulate, and address data science challenges, integrating domain knowledge and innovative approaches to drive solutions.
  9. Continuously update and expand their knowledge and skills in data science through self-directed learning, professional development opportunities, and engagement with emerging trends and technologies.
  10. Demonstrate proficiency in executing end-to-end data science projects, from data acquisition and preprocessing to model development and deployment, showcasing their ability to deliver actionable insights and value to organizations.

The OTHM Level 7 Diploma in Data Science is tailored for individuals with diverse backgrounds and career aspirations, including:

  1. Aspiring Data Scientists: Individuals who aim to launch a career in data science and seek comprehensive training in essential concepts, tools, and techniques.
  2. Professionals in Related Fields: Professionals already working in fields such as IT, engineering, finance, healthcare, marketing, or business analysis, who wish to transition into data science roles or enhance their data-related skills.
  3. Data Analysts and Researchers: Professionals involved in data analysis, research, or business intelligence who desire to deepen their understanding of advanced data science methodologies and technologies.
  4. Managers and Executives: Managers and executives seeking to leverage data science for strategic decision-making, organizational optimization, and competitive advantage within their respective industries.
  5. Entrepreneurs and Innovators: Entrepreneurs and innovators interested in utilizing data-driven approaches to identify market opportunities, develop data-driven products or services, and drive business growth and innovation.
  6. Academics and Educators: Academics and educators who wish to expand their expertise in data science to enhance their teaching capabilities, conduct research, or contribute to the advancement of the field.
  7. Career Changers: Individuals from diverse backgrounds who are considering a career change and recognize the growing demand for data science skills across industries.

Regardless of background, this diploma provides learners with the necessary knowledge, skills, and confidence to excel in data science roles and make meaningful contributions to organizations leveraging data-driven approaches.

Frequently Asked Questions

Yes, the course is designed to accommodate learners with varying levels of experience in data science. It covers fundamental concepts and gradually progresses to more advanced topics, making it suitable for beginners as well as experienced professionals looking to deepen their expertise.

Generally, applicants are expected to hold a bachelor’s degree or equivalent qualification in a relevant field. Proficiency in mathematics, statistics, and programming may also be required. Specific entry requirements may vary by institution.

The curriculum covers a wide range of topics, including educational leadership, strategic management, organizational behavior, resource management, policy development, and legal and ethical considerations in education.

Graduates of this course are well-equipped for various roles in data science, including data scientist, data analyst, machine learning engineer, business intelligence analyst, and data engineer, across industries such as IT, finance, healthcare, marketing, and more.

This course enhances your technical skills, analytical abilities, and problem-solving capabilities, making you a valuable asset in the rapidly growing field of data science. It also provides opportunities for networking, professional development, and access to job placements and internship opportunities.

Yes, International students can apply.

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