Course Leader MSc Business and Data Analytics - London

Ravensbourne University London

1 week ago

Applications closed

Related Jobs

View all jobs

Senior Lecturer/Teaching Fellow in Software Engineering

Lead Insight Analyst

Principal Data Scientist

Applied Scientist II - Computer Vision

Senior AI Engineer

Executive Recruiter

Course Leader MSc Business and Data Analytics - London

Our University

Ravensbourne University London is an innovative, industry-focused university located at the heart of London’s newest creative community on the Greenwich Peninsula. We're champions of creativity and collaboration, dedicated to giving our learners the specialist skills and opportunities they need for outstanding careers in digital media and design. We have a vibrant and growing portfolio of business, computing and games programmes and are looking to develop some exciting new programmes in computing, data analytics and management.

The Role

We are looking for a creative course leader to take this exciting new course from design stage to being delivery ready and to ensure the course team are supported to facilitate student success.

Our MSc Business and Data Analytics degree is at a critical stage of development and you will have the opportunity to bring to life our vision for students to combine advanced data analytics knowledge with business acumen so that graduates are equipped to deliver strategic insights and drive innovation and decision making across diverse sectors. The course combines advanced technical skills in data science, analytics, artificial intelligence and machine learning with a strong foundation in business strategy and governance. Managing this provision in a fast-paced university where creative worlds collide with business is a rare opportunity to develop your professional academic leadership career in an agile environment.

The Candidate

You will combine professional experience, academic knowledge, and a strong understanding of current industry practice; you will bring the dynamism to inspire our students; and you will bring the experience to facilitate a high-quality learning environment. The leader we are seeking will have the knowledge, industry contacts and vision to build the course and develop new opportunities in the discipline. Empower yourself to lead and inspire computing, data science and management academic teams towards the attainment of course objectives. Join our dynamic team and become a key part of this growing areas of excellence for the next generation of innovative data scientists and managers.

Closing Date: 16 Mar 2025

Unit: Academic

Salary: From £61,226

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Mar 12, 2025

Jobs Careers

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Mar 9, 2025

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Mar 8, 2025

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.