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The BSc (Hons) in Computing (Data Science) at the University of Greenwich is a dynamic program that blends computing fundamentals with advanced data science techniques. It’s ideal for students eager to delve into data analytics, machine learning, and artificial intelligence to solve real-world problems.
Curriculum Structure:
Year 1:
In your first year, you'll build a strong foundation in programming and data handling. Modules like “Programming Fundamentals” and “Data Structures” will introduce you to core concepts, while “Mathematics for Computing” ensures you have the analytical skills needed for data science. This year sets the stage for more advanced topics in the following years.
Year 2:
The second year deepens your understanding with modules such as “Algorithms and Data Structures,” “Database Systems,” and “Data Analytics and Visualisation.” You'll learn to design efficient algorithms, manage databases, and visualize data effectively, preparing you for complex data challenges.
Year 3:
In your final year, you'll specialize in areas like “Machine Learning,” “Artificial Intelligence,” and “Big Data Technologies.” A capstone project allows you to apply your knowledge to a real-world problem, demonstrating your readiness for the professional world.
Focus Areas:
Data Analytics, Machine Learning, Artificial Intelligence, Big Data Technologies, Data Visualisation.
Learning Outcomes:
Develop proficiency in programming, data analysis, and machine learning; gain expertise in visualizing complex datasets; acquire the ability to solve real-world problems using data-driven approaches.
Professional Alignment (Accreditation):
The program is accredited by BCS, The Chartered Institute for IT, ensuring it meets the high standards required for a career in data science and computing.
Reputation (Employability Rankings):
The University of Greenwich is recognized for its strong industry connections and high employability rates among graduates, particularly in the fields of computing and data science.
This degree equips you with the skills and knowledge to embark on a successful career in the ever-evolving field of data science.
Throughout the program, you'll engage in practical learning experiences that bridge theory and real-world application. You'll work with the latest technologies and techniques, gaining exposure to trends shaping the future of computer science. The curriculum includes modules like Statistical Techniques with R, Information Visualisation, and Big Data and Machine Learning, ensuring you're well-equipped for a career in data science.
The program also offers opportunities for internships and placements, allowing you to apply your skills in real-world settings and build valuable industry connections.
In addition to the core curriculum, the university provides access to state-of-the-art facilities and resources to support your learning journey.
Key Experiential Learning Opportunities:
Accreditation: The program is accredited by BCS, The Chartered Institute for IT, partially fulfilling the academic requirements for registration as a Chartered IT Professional and a Chartered Engineer. University of Greenwich
Industry Engagement: Opportunities for internships and placements to gain practical experience and industry insights.
Advanced Software Tools: Hands-on experience with industry-standard software and tools used in data science and machine learning.
Research Opportunities: Access to research projects and initiatives, allowing you to contribute to advancements in data science.
Collaborative Projects: Engagement in group projects that simulate real-world challenges, fostering teamwork and problem-solving skills.
State-of-the-Art Facilities: Utilization of modern computer labs and equipment to support your learning and development.
Supportive Learning Environment: Access to academic support services, including tutoring and career guidance, to help you succeed.
By the end of the course, you'll be equipped to work independently and develop your skills throughout your future career, making you a strong candidate for roles in data science and related fields.
Graduates of the BSc Hons in Computing (Data Science) from the University of Greenwich are well-equipped to embark on a range of dynamic careers in the tech industry. The program's comprehensive curriculum ensures that students are prepared for roles such as:
Data Analyst
Machine Learning Engineer
Data Scientist
AI Researcher
University Support & Industry Connections:
The University of Greenwich offers a robust support system to enhance employability:
Career Services: Dedicated career advisors assist with job placements, internships, and career planning.
Industry Partnerships: Collaborations with leading tech companies provide students with real-world experience and networking opportunities.
Accreditation: The program is accredited by BCS, The Chartered Institute for IT, ensuring recognition by employers and professional bodies.
Employment Statistics & Salary Expectations:
While specific employment statistics and salary figures for this program are not detailed, the UK's Department for Education reports that English-domiciled graduates earned an average of £10,500 more annually than non-graduates in 2023. Furthermore, projections indicate that 88% of new jobs by 2035 will require graduate-level qualifications. University of Greenwich
Further Academic Progression:
Postgraduate Opportunities:
Upon completion of the BSc Hons in Computing (Data Science), graduates have the opportunity to further their studies with:
MSc in Data Science: Aimed at deepening knowledge in data analytics, machine learning, and artificial intelligence.
MSc by Research in Computing and Mathematical Sciences: For those interested in pursuing research careers or doctoral studies.
These postgraduate programs build upon the foundation laid during the undergraduate course, offering specialized knowledge and research opportunities to advance in the field.
If you're ready to take the next step towards a rewarding career in data science, the BSc Hons in Computing (Data Science) at the University of Greenwich offers the education, support, and opportunities to help you succeed.
A-level: BCC; 104 UCAS Tariff points.IELTS 6.0 overall with minimum 5.5 in each skillTOEFL: 72 overall with no less than: Reading:18 Listening:17 Speaking:20 Writing:17For Indian applicants: Completion of Standard XII with a minimum grade of 65%, obtained within the last two years.For those seeking advanced entry into Year 2 or Year 3, the following requirements apply: Completion of Year 1 of a relevant degree programme with a minimum grade of 60%.For US applicants: High School Diploma with minimum GPA 3.2 or GED 175; for GPA 2.8 or GED 165, you also need one of the following: ACT 22+; AP grade 3+ in 2 tests; SAT 1050 with min 500 each (post-March 2016) or 1650 (pre-March 2016); IB modules min 18 points.Data AnalystBusiness AnalystData ScientistMachine Learning EngineerAI SpecialistBig Data EngineerDatabase AdministratorData EngineerStatisticianSoftware DeveloperResearch AnalystQuantitative Analyst
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