MSc Accounting & Finance
Sheffield Hallam University, located in the vibrant city of Sheffield in the United Kin...
Sheffield Hallam - City Campus
INTAKE: Jan & Sept
The MSc Big Data Analytics program at Sheffield Hallam University is a cutting-edge course designed to meet the growing demand for professionals who can manage and analyze vast amounts of data.
Advanced Curriculum: The program offers a comprehensive curriculum that covers data collection, storage, analysis, and interpretation. Students gain proficiency in programming languages like Python and R, data visualization tools, and machine learning techniques.
Practical Learning: Sheffield Hallam University emphasizes practical, hands-on learning. Students work on real-world data analytics projects, allowing them to apply their knowledge in practical scenarios.
Industry-Relevant Skills: Graduates of this program acquire skills highly valued in today's job market. They become proficient in data mining, data warehousing, data governance, and data ethics, preparing them for various roles in the field.
Big Data Technologies: Students gain exposure to cutting-edge big data technologies, including Hadoop, Spark, and NoSQL databases, providing them with a competitive edge in the industry.
Guest Lecturers and Industry Partnerships: The university collaborates with industry experts and organizations to provide guest lectures and industry-relevant insights. This ensures that students receive up-to-date knowledge and networking opportunities.
Research Opportunities: Sheffield Hallam University encourages research-driven learning. Students have the chance to engage in research projects, contributing to advancements in the field of big data analytics.
Ethical Considerations: The program places importance on the ethical aspects of big data analytics, teaching students about data privacy, security, and legal compliance.
Soft Skills Development: In addition to technical skills, students develop essential soft skills such as critical thinking, problem-solving, and effective communication, enhancing their overall employability.
Career Development: The university offers career development support, including assistance with job applications, interview preparation, and access to a network of employers seeking data analytics professionals.
Diverse Career Opportunities: Graduates of the MSc Big Data Analytics program are well-prepared for diverse career opportunities. Potential roles include data analyst, data scientist, business intelligence analyst, data engineer, and more.
Sheffield Hallam - City Campus
IELTS 6.5
£ 16385
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at Sheffield Hallam University are typically required to have a minimum academic achievement of 60% or above in their undergraduate degree or equivalent qualifications.
English language proficiency:English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
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.
Sheffield Hallam University offers a range of scholarships to international students to support their academic journey and recognize their achievements. These scholarships are designed to provide financial assistance and enhance the overall student experience.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.
Upon completing the MSc Big Data Analytics program at Sheffield Hallam University, graduates have a wide range of career prospects.
Data Analyst: Graduates can work as data analysts, responsible for collecting, processing, and interpreting data to extract valuable insights for decision-making.
Data Scientist: With advanced data analytics skills, graduates can become data scientists, creating complex models and algorithms to solve business challenges.
Business Intelligence Analyst: Graduates may choose roles as business intelligence analysts, helping organizations make data-driven decisions and improving operational efficiency.
Machine Learning Engineer: Those interested in machine learning can pursue roles as machine learning engineers, developing and implementing machine learning algorithms.
Data Engineer: Graduates can become data engineers, responsible for designing and managing data pipelines, data warehouses, and ETL processes.
Database Administrator: With expertise in data management, graduates may work as database administrators, ensuring the efficient storage and retrieval of data.
AI Specialist: Those passionate about artificial intelligence can specialize in AI, working on innovative AI applications and solutions.
Data Consultant: Graduates can offer their expertise as data consultants, helping organizations improve data management practices and analytics strategies.
Researcher or Educator: Graduates interested in academia or research can pursue doctoral studies or teaching positions at universities or colleges.