Graduate Certificate in Data Science (Applied)
Program Overview
The Graduate Certificate in Data Science (Applied) is an online program that equips professionals with the skills needed in the data-driven job market. The program covers data science principles, analytics tools, and practical applications. Graduates gain proficiency in data analysis, model building, and data visualization, preparing them for careers as data analysts, business data analysts, and management analysts.
Program Outline
Degree Overview:
The Graduate Certificate in Data Science (Applied) is a comprehensive online program that empowers professionals with the highly sought-after skills needed in today's data-driven job market. This part-time program spans 8 months and provides a flexible learning experience that aligns with the demands of a modern workplace.
Objectives:
The program aims to equip individuals with a comprehensive understanding of data science principles and their practical applications within various professional domains. Graduates will gain proficiency in evaluating and utilizing industry-leading analytics tools and techniques to effectively address real-world data-related challenges.
Program Description:
This flexible online program seamlessly blends intensive and blended learning modes to deliver an immersive and engaging educational experience. Students will delve into the fundamentals of data science, exploring its role as a strategic process within organizations. They will acquire hands-on knowledge of the discipline's technical practices and develop critical thinking skills to analyze and interpret data with accuracy. The program emphasizes the practical implementation of data science techniques, ensuring graduates possess the confidence and competence to leverage data for informed decision-making and organizational improvements.
Outline:
Module 1: Introduction to Data Science
Students will gain an overview of the field of data science, including its principles, methodologies, and applications. Key topics covered include data types, data collection techniques, and data exploration methods.
Module 2: Data Wrangling and Preprocessing
This module focuses on the essential skills of data cleaning, manipulation, and preparation. Students will learn to manage missing values, identify and correct data errors, and transform data into a usable format for analysis.
Module 3: Statistical Analysis
Students will explore fundamental statistical concepts and techniques, including descriptive statistics, probability distributions, hypothesis testing, and regression analysis. These methods provide a solid foundation for understanding and interpreting data patterns and relationships.
Module 4: Machine Learning
This module introduces the principles and algorithms of machine learning, enabling students to develop predictive models that can identify patterns and make accurate predictions from data.
Module 5: Data Visualization
Students will learn to effectively communicate data insights through compelling visualizations. Topics covered include data visualization principles, choosing appropriate chart types, and creating interactive visualizations using industry-standard software.
Assessment:
The program employs a range of assessment methods to evaluate student learning and progress. These assessments include:
Assignments:
Regular assignments assess students' understanding of course concepts and their ability to apply data science techniques to solve real-world problems.
Projects:
Hands-on projects provide opportunities for students to demonstrate their proficiency in data analysis, model building, and data visualization.
Examinations:
Final examinations test students' comprehensive knowledge and understanding of the program's content and their ability to apply data science principles to practical scenarios.
Teaching:
The program is delivered by a team of experienced industry professionals and academic experts who bring their specialized knowledge and practical experience to the classroom. The teaching approach is highly interactive and collaborative, fostering a supportive learning environment where students can actively engage with the material and with their peers.
Careers:
Graduates of the Graduate Certificate in Data Science (Applied) are well-prepared for a wide range of roles in the rapidly growing field of data science. Common career paths include:
Management Analyst
Business Data Analyst
Data Analyst
These professionals contribute to data-driven decision-making, analyze business trends, and extract meaningful insights from large datasets in various industries, including finance, healthcare, retail, and technology.
University of Adelaide College
Overview:
The University of Adelaide College is a pathway institution offering programs designed to prepare students for undergraduate and postgraduate studies at both Adelaide University and the University of Adelaide. Located in Adelaide and Melbourne, the College provides a range of programs, including Foundation Studies, Degree Transfer, Pre-Master's, and English Language programs.
Services Offered:
The College offers a comprehensive range of services to support students, including:
Academic Programs:
Foundation Studies, Degree Transfer, Pre-Master's, and English Language programs.Student Services:
Orientation, accommodation assistance, career guidance, and academic support.Campus Life:
Student clubs and societies, social events, and opportunities to engage with the wider university community.Visa Information:
Guidance and support for international students seeking student visas.Student Life and Campus Experience:
Students at the University of Adelaide College can expect a vibrant and supportive campus environment. The College offers a range of opportunities for students to connect with each other and engage in extracurricular activities. The College also provides access to the facilities and resources of both Adelaide University and the University of Adelaide.
Key Reasons to Study There:
Pathway to prestigious universities:
The College provides a clear pathway to undergraduate and postgraduate studies at Adelaide University and the University of Adelaide.World-class programs:
The College offers high-quality programs taught by experienced and dedicated faculty.Supportive learning environment:
The College provides a supportive and inclusive learning environment with small class sizes and personalized attention.Access to university resources:
Students have access to the facilities and resources of both Adelaide University and the University of Adelaide.Vibrant campus life:
The College offers a range of opportunities for students to connect with each other and engage in extracurricular activities.Academic Programs:
The College offers a range of academic programs, including:
Foundation Studies:
Designed for students who do not meet the entry requirements for direct entry into undergraduate programs at Adelaide University or the University of Adelaide.Degree Transfer:
Allows students to complete the first year or two of their undergraduate degree at the College and then transfer to Adelaide University or the University of Adelaide to complete their degree.Pre-Master's:
Prepares students for postgraduate studies at Adelaide University or the University of Adelaide.English Language Programs:
Designed to improve students' English language skills to the level required for study at Adelaide University or the University of Adelaide.Other:
The College is accredited by the Tertiary Education Quality and Standards Agency (TEQSA). The Melbourne campus is operated by Kaplan Higher Education Pty Ltd.
Entry Requirements:
For Australian Year 12: Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject.
International Applicants:
Selection Criteria:
English Language Requirements:
- IELTS: Overall 6.5, Reading 6, Listening 6, Speaking 6, Writing 6
- TOEFL: Overall 79, Reading 13, Listening 13, Speaking 18, Writing 21
- Pearson: Overall 58, Reading 50, Listening 50, Speaking 50, Writing 50
- C1 Advanced: Overall 176, Reading 169, Listening 169, Speaking 169, Writing 169
