MSc Human Resource Management
Intake:- January & September The MSc Human Resource Mana...
London
INTAKE: Feb & Sept
The MSc Data Science with Professional Experience program at York St John University is a comprehensive and innovative program designed to equip students with the skills and knowledge required to excel in the dynamic field of data science. In an era where data-driven decision-making is pivotal, this program is tailored to prepare students for harnessing the power of data for insights, predictions, and innovation.
Multidisciplinary Curriculum: The program offers a multidisciplinary curriculum that integrates computer science, mathematics, and domain-specific knowledge. This approach ensures graduates develop a well-rounded skill set, enabling them to tackle complex data challenges.
Data Analysis and Visualization: Students learn to analyze intricate and extensive datasets, derive meaningful insights, and communicate their findings effectively through data visualization techniques.
Machine Learning and AI: The program delves into machine learning algorithms, artificial intelligence, and predictive modeling. Students gain practical experience in constructing and deploying machine learning models for various applications.
Programming Proficiency: Students cultivate strong programming skills, especially in languages like Python and R, which are essential for data analysis and machine learning.
Big Data Technologies: The program introduces students to big data technologies and platforms, enabling them to efficiently manage and analyze large datasets.
Ethics and Privacy: The curriculum addresses the ethical considerations of data science, emphasizing the importance of responsible data handling and privacy preservation.
Professional Experience Component: The MSc Data Science with Professional Experience program uniquely offers students the opportunity to gain real-world exposure through a professional experience placement. This component enhances students' employability and provides a platform to apply theoretical knowledge in practical settings. It fosters a deeper understanding of industry practices and cultivates essential professional skills.
London
IELTS 6.5
£ 12300
Postgraduate Entry Requirements:
Academic qualification: For postgraduate programs, international students are required to have a minimum overall score of 55% or above in their previous academic qualification.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions
York St John University offers a range of scholarships to international students, providing financial support and recognition for their academic achievements. These scholarships aim to attract talented students from around the world and promote diversity within the university community.
It is important to note that scholarship availability, eligibility criteria, and award amounts may vary each year.
Graduates of the MSc Data Science with Professional Experience program from York St John University are exceptionally well-prepared to pursue rewarding careers in a variety of sectors.
Data Analysts: Graduates can embark on careers as data analysts, responsible for extracting insights from data to support organizational decision-making.
Machine Learning Engineers: With expertise in machine learning and AI, graduates are poised for roles involving the creation and optimization of machine learning models.
Data Scientists: Graduates can become data scientists, leveraging their technical skills and domain knowledge to solve intricate problems and drive innovation.
Business Intelligence Specialists: Graduates can contribute to organizations as business intelligence specialists, delivering data-driven insights to inform strategic decisions.
Data Engineers: Roles as data engineers are well-suited for graduates interested in data architecture, pipelines, and integration.
Consultants: Graduates can provide data science consultancy services to organizations seeking to leverage data for improved decision-making.