The Level 8 Advanced Diploma in Data Science is an in-depth, expertly designed course tailored for individuals eager to develop a robust understanding of advanced data science concepts and techniques. This comprehensive curriculum encompasses a wide range of essential and specialized modules, including data analysis, machine learning, deep learning, data engineering, statistical modelling, and data visualization. Each module is crafted to build both foundational knowledge and advanced skills, blending theoretical principles with practical applications through hands-on projects and real-world case studies.
Start Date: You can start this course any day of the year, it is an online course, we enrol students on a daily basis.
Course Duration: 4 – 7 Months, depending on your lifestyle, we have no problems how fast or slow you want to complete the course. The course is valid for 12 months, so you can submit your assignments any time during the 12 months period.
Course Fee: The Fee for this course is £197, this covers everything you need to complete this course including Certificate & Transcript. There are no other charges
Course Credits: This Course Carries 240 Credits. It Will Be Mentioned On Your Transcripts.
Who can apply for this course? Anyone with an interest can apply for this course. This is an online course, any nationality from any country in the world can apply for this course.
Entry Requirements: You need to have a Level 7 Diploma to apply for this course, if you do not have the Level 7 Diploma, you can apply for our Postgraduate Level 7 Diploma In Data Science.
Course Contents
Course Contents
The Level 8 Advanced Diploma in Data Science is an in-depth program designed for professionals and aspiring data scientists to gain advanced expertise in data-driven decision-making.
Upon completion, graduates are well-prepared for diverse and in-demand roles in data science, analytics, and artificial intelligence. They will possess the skills needed to tackle challenging data-driven problems and contribute meaningfully to organizations across industries, making them valuable assets in the fast-evolving field of data science.
Course Units
Data Science Foundations: Covers the fundamental concepts and techniques in data science, including data collection, cleaning, and pre-processing.
Probability and Statistics for Data Analysis: Focuses on statistical methods and probability theory essential for data analysis.
Advanced Predictive Modelling: Teaches advanced techniques for building predictive models using various algorithms.
Data Analysis and Visualisation: Emphasizes methods for analysing data and presenting findings through visualizations.
Data Mining, Machine Learning, and Artificial Intelligence: Explores techniques for extracting patterns from large datasets and applying machine learning and AI methods.
Advanced Computing Research Methods: Develops research skills specific to computing and data science, including designing and conducting experiments.
R Programming: Statistical computing language focused on data analysis.
Duration
Duration
4 – 7 Months, depending on your lifestyle, we have no problems how fast or slow you want to complete the course. The course is valid for 12 months, so you can submit your assignments any time during the 12 months period.
Nationals of all countries can apply for this course, it is an online course, you do not have to come to UK to take this course.
Progression
Progression
On completion of this course, you will be awarded the Level 8 Advanced Diploma in Data Science, you can use it for new jobs opportunities and higher education.
Career Path
Career Path
Course Delivery
Course Delivery
This course is delivered via our online Learning Portal. All course materials are available online. You can have 24/7 access to your student portal.
Payment Options
Payment Options
There are a number of options you can pay your fees. We accept Debit & Master cards, PayPal and Western Union.
Tutor Support
Tutor Support
Once a student is registered we will allocate a UK-Based tutor to guide the student through out his/her studies. The tutor will be available via email and via Virtual Learning Environment. The tutor will guide and support the student till the given assignments are complete and submitted.
