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Middlesex University's MSc Data Science and Artificial Intelligence is designed particularly to equip students with the basic theoretical understanding and practical competences needed to thrive in the rapidly evolving fields of data science and artificial intelligence. The course is evenly integrated with theoretical foundations and practical experience to enable the graduates to pursue multiple career avenues where they can use data to inform decision-making and develop smart systems. With the one-year tenure, the students dive deep into subjects including machine learning, big data analytics, AI algorithms, and data visualization in order to develop them as expert practitioners for corporate applications.
Curriculum Structure:
The program offers an appropriate blend of core and applied learning with the below:
Foundational Modules: Introducing advanced statistics, programming, and data management in order to equip the students with strong fundamentals.
AI and Machine Learning: Specializations in neural networks, deep learning, natural language processing, and reinforcement learning.
Big Data and Cloud Computing: Practice in handling massive data sets with modern-day platforms and scalable solutions.
Practical Projects: Industry-focused case studies and group projects that encourage innovation and problem-solving.
Dissertation: An independent research work where students can implement their skills on a subject of personal or professional interest, showcasing their analytical and technical skills.
Accreditation
The course is accredited and recognized by industry, ensuring that it is of high academic and professional quality that employers value. Middlesex University's close industry links to the data science and AI sectors provide students with an advantage from up-to-date material that reflects the demands of today's industry.
Campus Location:
Middlesex University Dubai has a vibrant learning culture with access to cutting-edge computer laboratories, collaborative spaces, and industry-veteran teaching staff who share both theoretical knowledge and practical experience within the classroom.
Middlesex University places strong emphasis on learning through doing alongside theory:
Industry Projects: Students work on live projects under the sponsorship of industry partners, where they get to practice applying AI and data science technologies to solve real business problems.
Internships: Provision is made for engagement with local and international businesses to provide avenues for students to secure internships that lead to career opportunities.
Workshops and Seminars: Regular sessions organized by industry professionals expose the student to the latest technology and trends and remain ahead of the curve.
Student Societies and Competitions: Participating in data science and AI clubs or hackathons gives exposure to teamwork, creativity, and networking.
Global Exposure: Middlesex facilitates international conference visits and exchange programs to promote students' experiences.
Middlesex University's dedicated Career Services team provides individualised guidance to help students develop their careers:
Career Guidance and Coaching: One-to-one sessions to help students identify strengths and create realistic goals.
CV and Interview Preparation: Training and mock interviews to enhance confidence and presentation skills.
Employer Networking: Regular company visits and career fairs acquaint students with potential employers in data science, AI, finance, healthcare, and more.
Job Placement Support: Support in job search and application to make the students most employable after graduation.
Employability:
Such an MSc graduate is in high demand in a diverse range of industries including technology, finance, healthcare, retail, and consultancy. Some of them have been employed as data scientists, machine learning engineers, AI developers, and business intelligence analysts by established companies within the country and abroad.
Academic Progression:
For those interested in further expanding their knowledge, options include taking PhDs in data science or AI, specialist certification in new technologies, or cross-disciplinary studies combining AI with business, robotics, or cybersecurity.
IELTS - 6.5 (with 6.0 in each component)TOEFL - 79 (Reading min 18, Writing min 21, Listening min 17, Speaking min 20)A current CV or resume outlining academic achievements, work experience, internships, and any relevant projects or extracurricular activities that demonstrate the applicant's interest and background in data science and artificial intelligence.Applicants must provide official transcripts and certificates from all post-secondary institutions previously attended. These documents should detail the courses taken and grades achieved, demonstrating a strong academic foundation in relevant subjects.A written statement detailing the applicant's motivation for pursuing the MSc in Data Science and Artificial Intelligence, career aspirations, and how the program aligns with their academic and professional goals.Two academic or professional references who can attest to the applicant's capabilities, work ethic, and potential for success in the program.A clear copy of the applicant's passport for identification and visa processing purposes.Recent passport-sized photographs for university records and identification.Data ScientistData AnalystMachine Learning EngineerBusiness Intelligence DeveloperAI DeveloperData EngineerCloud Computing EngineerRobotics EngineerSoftware EngineerApplications DeveloperFinancial Computing Analystand Data Governance Specialist
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Middlesex University Dubai
