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Students
Tuition Fee
GBP 6,610
Per year
Start Date
Medium of studying
Fully Online
Duration
12 months
Program Facts
Program Details
Degree
Courses
Major
Data Science | Data Analytics
Area of study
Information and Communication Technologies
Education type
Fully Online
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 6,610
Intakes
Program start dateApplication deadline
2024-10-01-
About Program

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

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