Postgraduate Diploma in Data Science
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Programme Overview
The Postgraduate Diploma in Data Science at Regenesys is a rigorous one-year programme that sharpens data analysis and computational skills. In today’s tech-driven business landscape, advancements in data storage and processing are key to effective decision-making. Data is generated and used across all sectors, making it crucial to understand the volume, variety, and velocity to apply data science techniques to manage vast, complex datasets.
Postgraduate Diploma in Data Science Admission Requirements
- A 3-year Bachelor’s qualification or NQF Level 7 equivalent
- Relevant work experience
SAQA ID: 122148
Academic Structure: Core PDDS Modules
- Data Science with Python- 25
- Data Storytelling using Power BI- 15
- Intermediate Personal Mastery- 5
- Mini Project:Based on Modules 1 to 4- 10
- Statistics for Data Science- 10
- The Data Ecosystem- 10
- Deep Learning with Artificial Neural Networks- 15
- Major Project: Based on Modules 1 to 7- 20
- Total Credits = 135
Academic Structure: Core PDDS Modules
- Data Science with Python- 25
- Data Storytelling using Power BI- 15
- Intermediate Personal Mastery- 5
- Mini Project:Based on Modules 1 to 4- 10
- Statistics for Data Science- 10
- The Data Ecosystem- 10
- Deep Learning with Artificial Neural Networks- 15
- Major Project: Based on Modules 1 to 7- 20
- Total Credits = 135
Study Mode
Online
Online learning, a dynamic and accessible educational option, involves using digital platforms and the internet to deliver educational content and facilitate learning at your own pace and terms.
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Flexibility
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Interactive Learning
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Multimedia Resources
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Personalised Learning
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Digital Skills Development
Online
Online learning, a dynamic and accessible educational option, involves using digital platforms and the internet to deliver educational content and facilitate learning at your own pace and terms.
Flexibility
Interactive Learning
Multimedia Resources
Personalised Learning
Digital Skills Development
Key TakeawaysÂ
- Proficiency in Python
- Data Visualisation Skills
- Self-Management Skills
- Statistical Foundations
- Understanding Data Ecosystems
- Neural Networks Knowledge
Career Opportunities Available After Completing Postgraduate Diploma in Data Science (PDDS)
- Data Scientist
- Data Engineer
- Quantitative Researcher
- Risk Analyst/Officer
- Business Analyst
- Consultant
- Research Scientist
- Project Consultant
Who will you learn from
Experienced Faculty
Where excellence meets education, our dedicated faculty transforms every learning into an extraordinary experience, leading the path to knowledge and success.
- Industry Experts
- One-On-One Interactions
- International Academics
- Supportive Learning Environment
 Admission Process
Admission Process
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Requirements
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Submit Application Fee
Finish Documentation Process
Pay Fee & Start Enrolment
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As an aspiring business leader, I considered Regenesys Business School for my business studies due to its holistic approach to education, focusing on intellectual, spiritual, emotional, and physical intelligence (IQ, SQ, EQ and PQ).
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Executive Director
Regenesys Business School was a game-changer in my career. At the time, not only did I leave the public sector to explore work in a private organisation, but Regenesys gave me the opportunity to grow and develop my knowledge, experience, and my worldview.
Sarah Lindy Maluleke
Serial Entrepreneur
I finally took taste to online learning in 2019. Today I am writing with gratitude and satisfaction, that I can share with colleagues what was the most pleasing experience in studying the Postgraduate Diploma in Business Management with Regenesys.
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Frequently Asked Questions
Programme
What is a Postgraduate Diploma in Data Science?
What is the duration of the Postgraduate Diploma in Data Science programme?
Why pursue a postgraduate diploma in data science?
Why pursue the Regenesys Postgraduate Diploma in Data Science programme in South Africa?
What is the programme structure of the Regenesys PDDS degree?
Eligibility
What are the admission requirements for a Postgraduate Diploma in Data Science at Regenesys School of Technology?
The admission requirements for the Postgraduate Diploma in Data Science at Regenesys School of Technology are:
- A 3-year Bachelor’s qualification or NQF Level 7 equivalent
- Relevant work experience
Who should take this Postgraduate Diploma in Data Science programme?
Is work experience required for Postgraduate Diploma in Data Science programme admission?
Can I apply for the Postgraduate Diploma in Data Science programme if I have a degree in a non-technical field?
Can I pursue the Postgraduate Diploma in Data Science degree directly after my class 12 / Matriculation?
Job And Career
What are the job prospects after completing a Postgraduate Diploma in Data Science?
What salary can I expect after completing a Postgraduate Diploma in Data Science?
Will completing a Postgraduate Diploma in Data Science guarantee me a job?
Are there opportunities for career advancement after completing a Postgraduate Diploma in Data Science?
Can I pursue further education, such as a Master’s degree, after completing a Postgraduate Diploma in Data Science?
Online PDDS Programme
Is the Postgraduate Diploma in Data Science programme offered online?
Is a Postgraduate Diploma in Data Science online programme as credible as a traditional contact one?
What technologies are used in the Postgraduate Diploma in Data Science online programme?
How are exams and assignments conducted in online Postgraduate Diploma in Data Science programmes?
What kind of support is available to online students in the Postgraduate Diploma in Data Science programme?
Financial Support
What financial support options does Regenesys offer?
How can I apply for financial support at Regenesys School of Technology?
- Visit our official website
- Read the detailed information on eligibility criteria and application processes.
- Complete an online student loan application form on our website and submit the required documents/information to the Regenesys Student Loan Department for further processing.
Are there any requirements for financial support at Regenesys?
- Identity Proof
- Proof of residence (not older than three months)
- Last three months’ salary slips
- Balance sheet & income and expenditure statement
- Last three months’ bank statements
- Latest academic results
- Acceptance of registration from Regenesys
- Confirmation of tuition fees
Are there any additional costs not covered by financial support at Regenesys?
Is student loans available for all Regenesys programmes?
The admission requirements for the Postgraduate Diploma in Data Science at Regenesys School of Technology are:
- A 3-year Bachelor’s qualification or NQF Level 7 equivalent
- Relevant work experience
- Visit our official website
- Read the detailed information on eligibility criteria and application processes.
- Complete an online student loan application form on our website and submit the required documents/information to the Regenesys Student Loan Department for further processing.
- Identity Proof
- Proof of residence (not older than three months)
- Last three months’ salary slips
- Balance sheet & income and expenditure statement
- Last three months’ bank statements
- Latest academic results
- Acceptance of registration from Regenesys
- Confirmation of tuition fees
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Launch Your Career with Regenesys Postgraduate Diploma in Data Science
What is Data Science?
Data science is a field that combines different disciplines to extract valuable insights from large amounts of both organised and unorganised data. It uses scientific methods, processes, algorithms, and systems to analyse this data, helping organisations make informed decisions. Data science helps businesses shape their strategies and operations by uncovering hidden patterns, trends, and connections within their data. This field covers various activities, including data mining, machine learning, statistical analysis, and predictive modelling. It deals with various data types, such as structured data in databases and unstructured data like text, images, and videos. Data science is important in many industries, including finance, healthcare, marketing, and technology. Various data science degrees are available for students pursuing careers in this dynamic field. If you are exploring data science graduate programmes or considering a data science degree in South Africa, acquiring the necessary skills and knowledge is crucial. Options like a PGDip in data science offer strategic training, equipping graduates with the knowledge to excel in this rapidly evolving field.Why is Data Science Important in Today's World?
In today's data-driven world, data science is crucial in transforming large amounts of data into valuable insights that drive business success across various industries. Data scientists possess the expertise to solve complex problems and clearly communicate these readings, facilitating informed decision-making at an organisation. Mentioned below are few of the important pointers highlighting the significance of Data Science in today’s world:- Informed Decision-Making: Data science helps businesses understand market trends, customer behaviour, and product performance.
- Customer Engagement: Companies like Netflix use data science to personalise user experiences, which boosts engagement and customer retention.
- Efficiency and Cost Savings: Automating tasks and optimising resources through data science increases productivity and reduces costs.
- Risk Mitigation: Analysing data to predict and prevent potential risks helps businesses avoid challenges.
- Industry Impact: From healthcare to finance, data science is essential for driving innovation and staying competitive.
How to Become a Data Scientist in South Africa?
Becoming a data scientist in South Africa requires a combination of education and practical skills. Begin with a degree in a quantitative field such as Mathematics, Statistics, or Computer Science. A PGDip in Data Science can further enhance your problem-solving and coding skills. Choosing the Postgraduate Diploma in Data Science programme from Regenesys can lead to a thriving career in data science.What are the Career Opportunities in Data Science within South Africa?
In South Africa, more companies are looking for skilled data science professionals to help them make better decisions using data. As data becomes more important in business, numerous career opportunities exist for those with the right skills. The Regenesys School of Technology’s Post Graduate Diploma in Data Science helps students develop the technical and analytical skills they need to succeed in these roles.Top Career Opportunities:
- Data Scientist
- Data Engineer
- Research Scientist
- Project Consultant
- Quantitative Researcher
- Risk Analyst/Officer
What are the basic requirements for enroling in a data science programme?
Regenesys’ Postgraduate Diploma in Data Science programme requires that you meet specific academic and work-related criteria. These requirements are designed to ensure you have the background needed to grasp the detailed topics covered in the programme. Requirements:- Academic Qualifications: You must have a 3-year Bachelor’s degree or an equivalent NQF Level 7 qualification.
- Relevant Work Experience: You should have relevant work experience.
What Qualifications Are Needed to Become a Successful Data Scientist?
To become a successful data scientist, the qualifications you need are a solid foundation in statistics and programming. A bachelor's degree in a relevant field, such as computer science, applied data science, or engineering, is essential to apply for higher studies. Academic advancement programmes like a postgraduate diploma in data science can be beneficial to further your knowledge in the field. In addition, skills in data manipulation, machine learning, and data visualisation are important for the role.Which Institutions Offer the Best Data Science Courses in South Africa?
Many institutions in South Africa offer a reputable data science diploma. Among them, the Regenesys School of Technology stands out with its exceptional Postgraduate Diploma in Data Science. This programme is well-crafted to meet industry standards, providing students with both the theoretical knowledge and practical skills needed for a successful career in data science.What are the Benefits of Pursuing a Data Science Degree in South Africa?
The field of data science is expanding quickly, leading to a vigorous job market with many opportunities. Graduates often find competitive salaries and positions in different industries like finance, healthcare, and technology. Pursuing a data science diploma programme in Regenesys - South Africa helps combine hands-on experience with the latest tools and technologies. Key benefits include:- Proficiency in Python: Essential for data analysis and programming.
- Data Visualisation Skills: Ability to present data clearly and effectively.
- Self-Management Skills: Effective time management for studies and academic projects.
- Statistical Foundations: Build a strong base in data collection, interpretation and presentation.
- Understanding Data Ecosystems: Insight into how different data sources interact.
- Neural Networks Knowledge: Familiarity with advanced machine learning techniques.
Who Is This Postgraduate Diploma in Data Science Programme For?
The Postgraduate Diploma in Data Science Programme is designed for professionals looking to advance their careers in the data-driven industry. It is perfect for professionals with relevant work experience and a strong academic background in data science or a similar field. The curriculum covers advanced topics such as Data Science with Python, Statistics for Data Science, and the Data Ecosystem, equipping learners to handle complex data challenges.ÂWhat Will You Learn in the PGDip Data Science Programme?
The Postgraduate Diploma in Data Science at Regenesys School of Technology offers a well-rounded and holistic curriculum created to develop the required skills in data science. Here’s what you’ll learn:- Proficiency in Python: key programming language used for data analysis and data science
- Data Visualisation Skills: Use visual tools and techniques to present data clearly and in simpler techniques, deciphering complex information for better understanding.
- Self-Management Skills: Learn to effectively manage your time and resources to tackle challenging data projects.
- Statistical Foundations: Build a strong understanding of critical statistical principles for analysing and interpreting data.
- Understanding Data Ecosystems: Learn how different data systems interact and learn to manage them.
- Neural Networks Knowledge: Learn to understand neural networks, which are important areas in machine learning and artificial intelligence.
Why Pursue Regenesys Business School's Postgraduate Diploma in Data Science Programme?
The Postgraduate Diploma in Data Science at Regenesys is a diligent, 12-month study designed to improve your data analysis and computational abilities. As technology progresses, managing and understanding large volumes of data becomes crucial. This programme will give you the hands-on skills to handle and analyse data in today’s tech-driven world. Here’s how the programme will benefit you:- Boost Productivity: Learn techniques to streamline your work and improve data processes.
- Improve Work Quality: Learn best practices that increase the accuracy and reliability of data work.
- Ensure Accuracy: Build skills to analyse and interpret data with precision.
What Is the PGDip Data Science Programme Fee Structure?
The Postgraduate Diploma in Data Science at Regenesys offers a structured fee system designed to accommodate various financial preferences over its 12-month duration. Here's a breakdown of the instalment options available:Â- Total Annual Fee: R110,000
- If Paid in Two Instalments: R59,950
- If paid in Twelve Instalments: R10,542
Unique Features of Regenesys Business School's Data Science Programme
Regenesys Business School’s Data Science Programme is distinguished by several key features that advance your learning experience and prepare you for your career. Here’s what sets us apart:- Learn from Experienced ProfessionalsÂ
- Experience a Supportive Environment
- Receive Personalised Learning
- Flexible Learning Options
- Participate in Hands-On ProjectsÂ
- Get Personalised Support