OTHM Level 7 Diploma in Data Science

The OTHM Level 7 Diploma in Data Science is a postgraduate qualification that provides learners with a deep understanding of data science concepts, techniques, and tools. The program covers a wide range of topics, including data analysis, machine learning, data visualization, big data analytics, and data ethics. It aims to develop analytical thinking, problem-solving, and technical skills essential for a successful career in data science.

Advantages:

This diploma is its practical approach. Learners are exposed to real-world data sets and industry-relevant case studies, allowing them to apply their theoretical knowledge to solve complex data problems. They gain hands-on experience using industry-standard tools and technologies such as Python, R, SQL, and Tableau. This practical exposure enhances their technical proficiency and prepares them to tackle the challenges of the rapidly evolving data science landscape.

Furthermore, the OTHM Level 7 Diploma in Data Science emphasizes the development of critical skills such as data storytelling, communication, and teamwork. Data scientists not only need to extract insights from data but also effectively communicate those findings to stakeholders and collaborate with interdisciplinary teams.

The OTHM Level 7 Diploma in Data Science is designed to be flexible and accessible to professionals from various backgrounds. Whether you are an experienced data analyst looking to upskill or a career changer interested in entering the data science field, this program can cater to your needs. The course materials are designed to accommodate both full-time and part-time learners, allowing individuals to balance their studies with other personal and professional commitments.

Entry requirements:

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.

Alternative professional qualifications with at least three years’ relevant work experience in the public service field may also be considered. This could be in roles in local or national government, or in non-governmental and inter-governmental organisations, the voluntary and charitable sector, and private sector roles which support or deliver public services.

Equivalences:

OTHM 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) qualifications which means learners will have to proceed to the dissertation stage (60 credits) with an appropriate university to achieve a full Master’s qualification.

Qualification structure:

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

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)

Conclusion:

The OTHM Level 7 Diploma in Data Science is a comprehensive program that equips professionals with the essential skills to thrive in the data-driven world. From its practical approach and emphasis on real-world applications to its focus on communication and teamwork, this diploma prepares learners to tackle the challenges of the data science field. By choosing this qualification, individuals can unlock numerous career opportunities and make a significant impact in the digital age.