| Program start date | Application deadline |
| 2024-10-01 | - |
Program Overview
The Applied Data Science Postgraduate Certificate is an online program designed to equip graduates with the essential skills and knowledge for a career in data science. The program provides a comprehensive foundation in data science principles, programming techniques, and data analysis skills using Python. Graduates will be able to apply their skills and knowledge to a practical work-based project, preparing them for careers in data analysis, data science, and information technology.
Program Outline
Degree Overview:
Overview:
The Applied Data Science Postgraduate Certificate is an online course designed to equip graduates with the essential skills and knowledge for a career in this field. The program provides a comprehensive foundation in data science principles, programming techniques, and data analysis skills using Python.
Objectives:
Graduates will be able to:
- Apply programming and data science skills in various real-world scenarios.
- Develop simple data solutions for data cleansing, analysis, machine learning, and visualization.
- Apply their skills and knowledge to a practical work-based project.
Program Description:
This intensive online program offers a solid grounding in data science for those new to computer science. Participants will gain valuable skills in:
- Programming with Python
- Data analysis and visualization
- Machine learning and artificial intelligence
- Data cleaning and wrangling
- Project development and implementation
Outline:
Program Content:
The program consists of three core modules totaling 60 credits:
Analytic Tools for Data Science (15 credits): This module covers fundamental data analysis and visualization techniques using Python libraries such as NumPy, Pandas, and Matplotlib.
Participants will learn data exploration, cleaning, manipulation, and visualization methods.
Demystifying Computing with Python (15 credits): This module introduces Python programming concepts, syntax, and problem-solving strategies.
It covers data types, control flow, functions, data structures, object-oriented programming, and more.
PG Cert Applied Data Science Project (30 credits): This work-based project allows participants to apply their acquired knowledge and skills to a real-world problem.
Supported by an industry partner, they will develop a data-driven solution, demonstrating their ability to analyze and solve complex challenges.
Course Schedule:
The program is offered as a one-year part-time online course, starting in October 2024. They will learn to:
- Leverage Pandas for data cleaning, transformation, and analysis.
- Understand data exploration, cleaning, manipulation, and visualization.
- Demystifying Computing with Python: This module provides a thorough introduction to Python programming, enabling participants to:
- Grasp fundamental programming concepts like variables, data types, operators, and control flow statements.
- Use functions and modules for improved code efficiency and organization.
- Understand and implement data structures like lists, tuples, and dictionaries.
- Utilize Python libraries for specific tasks, such as web scraping, data analysis, and machine learning.
- PG Cert Applied Data Science Project: Participants will engage in a real-world project guided by an industry partner, allowing them to:
- Apply their acquired data science skills and knowledge to a practical problem.
- Develop a data-driven solution, showcasing their ability to analyze and interpret data.
- Analytic Tools for Data Science: This module will be assessed through coursework assignments and a written examination.
- Demystifying Computing with Python: This module will be assessed through coursework assignments and a final project.
- PG Cert Applied Data Science Project: This module will be assessed through a project proposal, a final report, and a presentation of the project to the industry partner.
Teaching:
The program emphasizes interactive and engaging teaching methods, including:
- Seminars: These enable in-depth discussions, exchange of ideas, and application of knowledge to specific scenarios.
- Practical Sessions and Group Exercises: These facilitate active learning and problem-solving through real-world applications and group collaboration.
Faculty:
The program is taught by experienced faculty from Birkbeck's School of Computing and Mathematical Sciences. These faculty members are actively engaged in research and have extensive industry experience, ensuring participants receive cutting-edge knowledge and practical insights.
Careers:
Upon completion of the program, graduates can pursue careers in various roles related to data analysis, data science, and information technology. They may find opportunities in:
- Data Scientist: Build predictive models and design solutions to complex business problems using machine learning and artificial intelligence.
Other:
- The program is designed for graduates from diverse backgrounds, even those without prior computer science experience.
- Participants are encouraged to take advantage of the Lifelong Learning Guarantee for potential discounts on future program fees.
- Applicants may need to meet English language requirements if English is not their first language or if they have not previously studied in English.
Overall:
The Applied Data Science Postgraduate Certificate provides a well-rounded foundation for a successful career in this growing field. It offers a comprehensive curriculum with a practical focus, delivered by experienced faculty.
Part-time home students: £3,800 per year Part-time international students: £6,610 per year
Birkbeck University of London
Overview:
Birkbeck University of London is a public research university located in central London. It is known for its evening and weekend classes, catering to students who are working or have other commitments. Birkbeck is a member of the prestigious University of London and is recognized for its high-quality teaching and research.
Services Offered:
Birkbeck offers a wide range of services to its students, including:
Admissions:
Guidance on entry requirements, financial support, and application procedures.Student Services:
Support with academic and personal matters, including careers advice, financial aid, and disability services.Library:
Access to a comprehensive library with extensive resources and study spaces.Business Services:
Support for businesses and entrepreneurs, including training, consultancy, and networking opportunities.International Students:
Dedicated support for international students, including visa guidance and cultural integration programs.Student Life and Campus Experience:
Birkbeck provides a vibrant and diverse student community with a strong focus on evening and weekend study. Students can expect:
Central London Location:
Access to the city's cultural and social attractions.Flexible Study Options:
Evening and weekend classes to accommodate working students.Supportive Environment:
Dedicated student support services and a welcoming community.Career Development:
Opportunities for career advancement through internships, networking events, and career advice.Key Reasons to Study There:
Prestigious University:
Part of the University of London, renowned for its academic excellence.Flexible Study Options:
Evening and weekend classes for working professionals.Central London Location:
Access to the city's cultural and social attractions.Research-Led Teaching:
High-quality teaching informed by cutting-edge research.Strong Career Support:
Dedicated career services to help students achieve their career goals.Academic Programs:
Birkbeck offers a wide range of undergraduate and postgraduate programs across various disciplines, including:
Arts:
History, English, Philosophy, Languages, and more.Sciences:
Biology, Chemistry, Physics, Psychology, and more.Social Sciences:
Economics, Sociology, Politics, Law, and more.Business:
Management, Finance, Marketing, and more.Humanities:
History of Art, Music, Theatre, and more.Other:
Birkbeck is committed to public engagement and research with impact. The university actively promotes its research findings and engages with the public through events, lectures, and publications.
Entry Requirements
EU Home Students:
- Academic Qualifications: A second-class honours degree (2:2) or above in any subject other than computer science.
- Experience:
- Applicants with a lower degree classification may be considered if they have significant experience in the IT industry.
- The admissions committee views all applications holistically, considering your professional qualifications and relevant work experience alongside your academic achievements.
- Mature learners are encouraged to apply and their specific circumstances are taken into account during the assessment process.
- Application Materials:
- Your application form should clearly list all relevant qualifications and experience you have gained, including anticipated achievements.
- Applying early is encouraged, as applications are assessed on a rolling basis and places are filled promptly. Completed qualifications are not required to initiate an application.
International Overseas Students:
- Academic Qualifications: A second-class honours degree (2:2) or above in any subject other than computer science.
- English Language Proficiency:
- The program requires an International English Language Testing System (IELTS Academic Test) score of 6.5, with no sub-score below 6.0.
- Visa Requirements:
- International students requiring a Student visa are encouraged to apply for full-time courses, as these qualify for visa sponsorship.
Language Proficiency Requirements
The program requires an International English Language Testing System (IELTS Academic Test) score of 6.5, with no sub-score below 6.0.
