Data Science (HTQ) CertHE

Program Overview

The Data Science (HTQ) CertHE program is a one-year intensive course designed to prepare students for careers in data analysis and artificial intelligence. The program covers both theoretical and practical aspects of data science, including Python, machine learning, and data visualization. Graduates are well-equipped for careers in various data-related roles, including junior data analyst and junior software developer. The program is currently pending validation and is offered full-time and part-time at Park Campus in Cheltenham.

Program Outline

Degree Overview:

The Data Science (HTQ) CertHE is an intensive, one-year program designed to prepare students for careers in the field of artificial intelligence and data analysis.

This introductory course targets industry professionals and focuses on data analysis and technologies, covering both theoretical and practical aspects of entry-level data science, including Python, machine learning, and data visualization. Additionally, the course provides foundational skills in computer science and programming, such as object-oriented programming, data structures, algorithms, and database design. The program is delivered through a blend of interactive lectures and hands-on lab sessions. The modules are designed to foster independent and collaborative learning, equipping students with crucial industry skills. The curriculum is regularly reviewed and updated, ensuring its relevance and effectiveness.

Outline:

The Data Science (HTQ) CertHE program comprises the following modules:

Level 4 (Undergraduate year 1):

• Systems Design and Development (CT4023): This module introduces systems analysis and database design, using Agile Methods to transform business requirements into database systems.
Students are also introduced to the requirements of being a Computing Professional.
• Programming and Mathematics (CT4101): This module covers the fundamentals of computer programming and explores fundamental mathematics, trigonometry, and physics algorithms and their applications in computer programming.
• Programming Algorithms & Techniques (CT4102): This module delves into data structures, compression techniques, programming design patterns, and file type format structures used in games development.
It covers how to read and write these data structures to file and utilize them within games.
• Introduction to Artificial Intelligence (CT4103): This module offers a comprehensive introduction to the concepts and tools of artificial intelligence, assuming no prior knowledge.
This provides a grounding for students to progress to level 5 modules in AI.

Assessment:

The assessment methods for each module are detailed below:

• Systems Design and Development (CT4023):
• 50% portfolio: individual, 2000 words or equivalent
• 50% portfolio: individual, 2000 words or equivalent
• Programming and Mathematics (CT4101):
• 50% portfolio: individual, 2000 words or equivalent
• 50% portfolio: individual, 2000 words or equivalent
• Programming Algorithms & Techniques (CT4102):
• 50% portfolio: individual, 2000 words or equivalent
• 50% portfolio: individual, 2000 words or equivalent
• Introduction to Artificial Intelligence (CT4103):
• 50% portfolio: individual, 2000 words or equivalent
• 50% portfolio: individual, 2000 words or equivalent

Teaching:

The program is taught by experienced faculty with expertise in the field of data science. The teaching style is interactive and open, encouraging student questions and interests. The curriculum aligns with the planned learning objectives. Lecturers and support staff guide students during lab sessions to overcome challenges and ensure steady progress.

Careers:

Upon completing the program, graduates are well-equipped for careers in various data-related roles, including junior data analyst, junior software developer, technician, and software QA. The program also prepares students for further studies at the degree level in data science or related fields.

Other:

• The program is currently pending validation.
• Students will need to possess a strong background in mathematics and be proficient in basic computer programming.
• The program is offered full-time and part-time.

Tuition Fees and Payment Information:

UK Fees:

• £9,250 per year

International Fees: