MSc Accounting and Finance with Placement
The MSc in Accounting and Finance with Placement at Anglia Ruskin University is designe...
Cambridge
INTAKE: September
The MSc Applied Data Science (Conversion) program at Anglia Ruskin University is tailored for individuals who aspire to embark on a career in data science, even if they do not possess a background in this field.
Foundational Knowledge: The program offers a solid foundation in data science concepts, techniques, and technologies, making it accessible to students with diverse educational backgrounds.
Data Analysis: Students learn data analysis methodologies, data cleaning, and data visualization, which are crucial skills for extracting meaningful insights from complex datasets.
Machine Learning: The curriculum covers machine learning algorithms and models, allowing students to develop predictive analytics skills.
Programming Proficiency: Students gain proficiency in programming languages commonly used in data science, such as Python and R.
Data Engineering: The program delves into data engineering, including data preprocessing and database management.
Big Data Technologies: Students are introduced to big data technologies and tools, preparing them to work with large datasets efficiently.
Statistical Analysis: Statistical techniques and hypothesis testing are explored, enabling students to make data-driven decisions.
Ethical Data Use: The program emphasizes the ethical use of data, ensuring that graduates understand the importance of data privacy and security.
Real-World Projects: Students undertake practical projects and case studies, applying their data science knowledge to real-world scenarios.
Industry-Relevant Insights: The curriculum is designed to align with industry standards and practices, ensuring that graduates are well-prepared for the demands of the data science profession.
Cambridge
IELTS 6.5
£ 15000
Postgraduate Entry Requirements:
Students must provide:
Additional Requirements: In some cases, applicants may be required to provide additional documents or fulfill specific requirements based on their chosen program. These additional requirements may include a personal statement, letters of recommendation, portfolio, or interview. It is important to review the program-specific entry requirements and application guidelines provided by the university.
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.
Anglia Ruskin University in the UK offers various scholarships and financial aid opportunities to international students to support their academic journey. These scholarships are designed to recognize and reward exceptional academic achievements and provide financial assistance to deserving students.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary each year.
Upon completing the MSc Applied Data Science (Conversion) program at Anglia Ruskin University, graduates have a wide range of career opportunities in the field of data science.
Data Analyst: Graduates can work as data analysts, helping organizations derive insights from data to make informed decisions.
Data Scientist: Data scientists use advanced analytics and machine learning to solve complex business problems.
Machine Learning Engineer: Some graduates specialize in machine learning, developing algorithms and models for predictive analytics.
Business Intelligence Analyst: Graduates may work in business intelligence roles, focusing on data-driven decision-making in organizations.
Data Engineer: Opportunities exist to become data engineers, responsible for collecting, storing, and managing data efficiently.
Data Consultant: Graduates can become data consultants, advising organizations on data strategies and solutions.
Data Privacy Officer: Given the emphasis on data ethics, some graduates may choose roles related to data privacy and compliance.
Academic and Research Roles: Some graduates opt for academic or research positions, contributing to the field's knowledge and development.