Level 7 Diploma in Data Science

Credits	Awarding body	Delivery mode
120	Qualifi, UK - an Awarding body by the UK Government’s regulator - OfQual.	Online

Overview

The Level 7 Diploma in Data Science is an advanced program that provides comprehensive knowledge and skills in the field of data science. This course equips students with the expertise to analyze complex data sets, extract valuable insights, and make data-driven decisions. It covers advanced topics such as machine learning, data visualization, predictive modeling, and big data analytics. Through practical projects and hands-on experience, students develop proficiency in programming languages, statistical analysis, and data manipulation techniques. This diploma is designed for individuals seeking to enhance their career in data science, data analysis, or related fields, and it prepares them for senior-level roles such as Data Scientist, Data Analyst, Machine Learning Engineer, or Data Science Manager.

Entry requirements

Educational Background:

Previous Qualification: Applicants should have successfully completed a Level 6 qualification (e.g., Level 6 Diploma, Bachelor's degree, Graduate Diploma) or hold an equivalent credential such as a Master's degree or higher.

OR
Relevant Experience: Candidates with over 5 years of professional experience in their respective industry are encouraged to apply, as their practical knowledge is highly valued.

Age Requirement:

Minimum Age: Applicants must be 21 years or older. This program is designed to support both recent graduates and experienced professionals in advancing their careers.

Units covered

The programme consists of following units:

Unsupervised Multivariate Methods(15 credits)
Time Series Analysis(15 credits)
Advanced Predictive Modelling(15 credits)
Fundamentals of Predictive Modelling(15 credits)
Statistical Inference(12 credits)
Exploratory Data Analysis (8 Credits)
Contemporary Themes in Business Strategy(10 credits)
Further Topics in Data Science(15 credits)
Machine Learning(15 credits)

Learning Outcomes

Gain the mathematical and statistical knowledge and understanding required to carry out basic and advanced data analysis.
Develop sufficient skill in the R, Python and SQL programming languages to use them to successfully carry out data analysis to an advanced level.
Develop a strong understanding of data management, including evaluation, structuring and cleaning of data for analysis.
Become familiar with and use the tools and techniques used in data visualisation
Develop a comprehensive knowledge of classical data analytics, including statistical inference, predictive modelling, time series analysis and data reduction.
Become familiar with and apply common machine learning techniques to business and other problems in order to uncover options and solutions for them.
Develop an understanding of essential concepts from contemporary themes in business.
Understand, evaluate and apply data science and analytics within business and organisational contexts.

Payment plans

Please find below available fee payment plans:

Fast-track: 6 months - GBP £1250

● Payment option (a): GBP £416 x 3 monthly instalments
● Payment option (b): GBP £1187.50 x 1 instalment (We offer 5% bursary on total fee for students opting to pay in full)

Standard mode: 9 months - GBP £950