MBA Business Administration (Human Resources Management)
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MSc Applied Data Science
Sunderland
INTAKE: September
Program Overview
The MSc Applied Data Science program at the University of Sunderland is a comprehensive and highly sought-after course designed to prepare students for rewarding careers in data science and related fields.
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Data Analysis Skills: Students gain proficiency in data analysis, learning how to collect, clean, and analyze large datasets using advanced statistical and machine learning techniques.
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Programming Proficiency: The program emphasizes programming skills, particularly in languages like Python and R, which are essential for data manipulation and analysis.
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Machine Learning and Artificial Intelligence: Students delve into the world of machine learning and artificial intelligence, exploring algorithms and models for predictive analytics and decision-making.
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Data Visualization: Effective data communication is crucial, and students learn how to create compelling data visualizations that convey insights to both technical and non-technical stakeholders.
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Big Data Technologies: With the rise of big data, students are introduced to technologies like Hadoop and Spark, which are essential for processing and analyzing vast datasets.
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Data Ethics and Privacy: Ethical considerations in data science are explored, ensuring that graduates understand the importance of responsible data handling and privacy.
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Real-World Projects: Practical experience is gained through real-world projects, allowing students to apply their skills to solve industry-relevant problems.
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Research Skills: The program equips students with research skills, enabling them to contribute to the field of data science through academic research and innovation.
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Industry Connections: The University of Sunderland has strong ties with industry, providing opportunities for networking, internships, and exposure to real-world data science applications.
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Dissertation: A significant component of the program involves completing a research dissertation, allowing students to investigate a specific aspect of data science in depth.
Location
Sunderland
Score
IELTS 6.5
Tuition Fee
£ 16000
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55 to 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- PTE Academic: A minimum overall score of 59 with no individual score below 59 .
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
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.
The University of Sunderland offers a range of scholarships and funding opportunities to support students in their academic pursuits. These scholarships aim to recognize and reward academic excellence, as well as provide financial assistance to students who may face financial barriers to education.
- Vice-Chancellor's Scholarship: This is a prestigious scholarship awarded to high-achieving students who demonstrate exceptional academic performance. It provides a tuition fee discount of up to £3,000.
- International Scholarship: This scholarship is specifically designed for international students studying at the University of Sunderland. It offers a tuition fee reduction of up to £1,500 for eligible students.
- Sports Scholarship: The university also offers sports scholarships to talented athletes who excel in their chosen sport. These scholarships provide support in the form of coaching, training, and financial assistance.
- Subject-specific Scholarships: Some academic departments at the university may offer scholarships or bursaries specifically tailored to students studying in a particular field or discipline. These scholarships may have varying criteria and application processes.
Graduates of the MSc Applied Data Science program from the University of Sunderland are well-prepared for a wide range of career opportunities in the burgeoning field of data science.
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Data Scientist: Graduates can work as data scientists, leveraging their skills to extract valuable insights from data and inform business decisions.
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Machine Learning Engineer: Opportunities exist to specialize in machine learning and work on developing algorithms and models for predictive analytics.
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Data Analyst: Graduates can pursue roles as data analysts, focusing on data visualization and reporting to support organizational goals.
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Business Intelligence Analyst: Some graduates may choose to work as business intelligence analysts, helping organizations transform data into actionable intelligence.
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Data Engineer: Data engineering roles involve managing and optimizing data pipelines and databases to ensure efficient data processing.
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AI Specialist: With expertise in artificial intelligence, graduates can explore roles in the development of AI-driven applications and solutions.
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Researcher: For those interested in academia, a master's in data science can serve as a stepping stone to doctoral studies and research in data-related fields.
