Explore
Home Certifications Postgraduate Diploma In Data Science
ucam logo

Postgraduate Diploma In Data Science

Cambridge International Qualifications, UK

Turn vague data into meaningful insights to make crucial decisions in an organization.

Apply now

Credits (CIQ)

banner
banner

Have Questions ?

Speak to an Advisor

icon

Data science is something that turns vague data into meaningful insights that can be used to make various crucial decisions in an organization. Data science means using scientific methods, processes, algorithms, and systems to extract knowledge from data, and then leveraging that data to draw conclusions from decision making, risk calculation, targeting the audience to even finding market gaps and opportunities. 

  • Get a Postgraduate Diploma in Data Sciences from Cambridge International Qualifications (CIQ). 
  • CIQ is a professional awarding organization incorporated in the UK. 
  • 100% Online with Personal Tutor support
  • Flexible Payment scheme. No upfront payment, pay per module system.
  • Program Flexibility : Can complete the program in 5-10 months based on learners pace and time availability 
     
icon

$1700 Total Fee

icon

Flexible Duration

5-10 Months

icon

Certifications

Postgraduate Diploma In Data Sciences

icon

Learning

Online/Offline

Take a Free Trial Now

Course Modules & Fee

Module fee

$300 (300 per module, for 5 modules)

Certification Fee

$200 (To be paid upon successful completion of the program)

Go to Module Details
icon

$1700 Total Fee

icon

Flexible Duration

5-10 Months

icon

Certifications

Postgraduate Diploma In Data Sciences

icon

Learning

Online/Offline

Take a Free Trial Now

Admission requirement

English Language Proficiency

If you are not a native speaker, you should have an appropriate English proficiency level, e.g. an IELTS score of 5.5 or equivalent in all bands or possess a bachelor’s degree delivered and assessed in English, or proof of work experience in an English-speaking environment.

icon

$1700 Total Fee

icon

Flexible Duration

5-10 Months

icon

Certifications

Postgraduate Diploma In Data Sciences

icon

Learning

Online/Offline

Take a Free Trial Now

Why UniAthena?

Flexible

At Athena, you are in charge of your learning! You get to decide the pace of your learning based on your financial and time availability. The learning structure is modular, ensuring pace, effectiveness and momentum of your learning journey. With this byte-sized learning format you get to learn anywhere, anytime.

Affordable

With Athena as your learning partner, you follow a ‘Pay as you Go Scheme’ for your program, that means no upfront bulk payment of your fee. Instead, your fee will be divided into small pocket-friendly installments distributed across your program.

Accredited & Globally Accepted

Athena Global Education has partnered with reputed Universities and Awarding bodies, all of which are fully accredited by governmental regulatory bodies in their respective countries. Universities are NARIC Approved and are part of European Higher education, Bologna process, making the programs recognised worldwide.

Stackable

Byte-sized learning formats ensure that each learning item carries tangible value in terms of learning outcome, which allows learners to stack or combine small units into higher education credits toward a degree or diploma. At any point of time during your course, you can claim a certificate/diploma based on the credits you have earned so far.

icon

$1700 Total Fee

icon

Flexible Duration

5-10 Months

icon

Certifications

Postgraduate Diploma In Data Sciences

icon

Learning

Online/Offline

Take a Free Trial Now

Partners of this Programme

Cambridge International Qualifications, UK

Cambridge International Qualifications (CIQ), UK is a professional awarding body based in the United Kingdom. CIQ is founded on the vision of helping individual learners and employers in attaining quality accredited awards. With centers across the Middle East, Europe, and the African region, CIQ is a proud certification partner for more than 100 organizations and has a progression pathway with some of the leading universities across the world.

Click to Enlarge

uni-logo
*All certificate and transcript images are for illustrative purposes only and may be subject to change at the discretion of respective Universities or Awarding Bodies.

Admission Process

Please find below the detailed steps to be followed as a part of the admission process.

icon

Step 1 :Register for a free trial

Register for a 7-Day Trial and get complete access to the first module of this program for 7 days without any obligations.

icon

Step 2 :Submit online enrollment form

For Masters & Doctorate Program, you need to make a quick online application. For Certifications & Diplomas, you can enroll directly by making payment for 1st module.

icon

Step 3 : Pay & Start

Once your applications is approved, you will be able to start right away by making fee payment from your student portal 

Why this Course ?

1 Transforms Industries

Data Science has the power to transform industries and our society. It converts raw data into meaningful insights that can be used to grow business and recognize market trends. Data Science is also helping businesses to know their customers more closely so that they can serve them better.
 

2 Better Strategic Decisions

Data Science is evolving at this enormous pace because of the data that is being produced. Data scientists possess a variety of skill sets that can leverage data and information. That further helps companies to make better strategic decisions. 
 

3 Career of the Future

Data Science is the career of the future. The profession of a Data Scientist has been hailed as the highest-paid job of this century. Not only is there a shortage of data scientists, but there is a lack of competition as well since the data science domain is a relatively new field. One of the biggest advantages of data science is that one can work in different industries, ranging from sales/marketing to pharma/healthcare to even in industries like consulting, financial services, CPG industries, and retail. A data scientist will be at the core of global change of markets and human decisions in the following years.

Course Resources

For more detailed information about the course, please click on the links below.

What You Learn

This is your expected skill development and learning from the program

Module 1

course image

Introduction to Data Analytics

Duration: 21 to 60 days

Data acts as a major catalyst for decision making. This module will expose you to the basic concepts of data analytics and its practices executed in the business world. This module will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 2

course image

Application of Data Analytics

Duration: 21 to 60 days

The objective of this module is to make learners understand the application of data analytics in business, and equip them with knowledge, skill, and tools to be able to apply data analytics no matter what the industry or the nature of business one is involved in. This module will help learn different ways to approach a problem and how to break down available information to find a workable solution as well as teach the various tools and frameworks that allow one to handle and analyse large sets of data. Whether it’s in finance, education, or manufacturing, the ability to understand and interpret data is becoming exceedingly important. This module helps learners to practice the various Data Analytics methodologies and tools in an ever-changing industry landscape where data analytics is becoming an integral and crucial aspect of every business decision that organizations take

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 3

course image

Machine Learning

Duration: 21 to 60 days

The objective of this module is to make learners understand the different machine learning problems and how to design a learning system. The module also imparts deeper knowledge of supervised learning, unsupervised and reinforcement learning algorithms, the concepts of dimensionality reduction, kernel machines, and parametric methods and its application in learning problems. The learners will be able to analyse the learning problems and will also be able to apply different machine learning algorithms in learning problems.

Level: EQF Level 7/SCQF Level 11

Credits: 20 CIQ Credits

Module 4

course image

Data Visualization

Duration: 21 to 60 days

The objective of this module aids in the telling of tales by transforming data into a more understandable format and showing trends and outliers. A good visualization tells a story by reducing noise from data and emphasizing the most important facts. It makes the learner understand the different data present with clear evidence about the findings done. With the techniques, the learner will be able to find and select appropriate data that can be used to create a visualization that could answer a particular research question. They would be able to properly organize and visualize data to prepare and reuse them in future.

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 5

course image

Blockchain Essentials

Duration: 21 to 60 days

The aim of this module is to provides a high-level understanding of Blockchain Technology, the different use cases of Blockchain such as Defi, CBDC, SSI and NFT. Conceptual understanding of Blockchain such as its characteristics, the core attributes of Blockchain, how cryptographic methods are used in Blockchain, types of Blockchain networks and how it evolved, In-depth understanding of what are nodes in Bitcoin, Bitcoin transaction execution phases, the elements of a transaction such as a wallet, address, accounting methods, the different types of nodes and their roles and responsibilities are also discussed. Details like why consensus mechanism is needed, and their types, what is forking, and their types is analysed as part of the module. A high-level understanding of the architecture, components, and functioning of the two most widely adopted Blockchain platforms in the industry Ethereum and Hyperledger Fabric is included in the module.

Level: EQF Level 7

Credits: 20 CIQ Credits

How You Learn

Scientifically developed learning pedagogy, which ensures quality and effective learning experience for the learners. We ensure a seamless learning experience for students with varying levels of expertise on the subject matter.

image

Video Classes

The well developed customized online video lessons designed by our faculty will lay the foundation for your learning.

image

Text Learning Contents

Multi-level learning resources including relevant journal articles, case studies, quizzes developed by our faculty will enhance your learning experience.

image

Personal Tutor

One to one personal tutor meetings will clarify your doubts and also provide guidance on your assignments.

image

Online Library

You get unlimited access to the online library which consists of a large collection of books, journals, articles, white papers, videos, case studies, and other publications.

image

Collaborative Learning

Discussion Forum, webinars, business scenario presentations, debates will extend your learning beyond the curriculum and open a new world before you.

View All

What You Get

You will be receiving the following certificates as specified below:

icon

Postgraduate Diploma In Data Sciences issued by Cambridge International Qualifications . (view sample)

icon

Records of Achievements with Grade issued by Cambridge International Qualifications . (view sample)

All certificate and transcript images are for illustrative purposes only and may be subject to change at the discretion of respective Universities or Awarding Bodies.

And Our Student Says....

Ready to Start ?

It is really easy to start with us. You can register for this course with minimum details and get access to one of the modules of this course for 7 days. During this period, you may enroll in this course by submitting the required documents and making a module fee.

Register Now for 7 day trial

Course Team

Team Member

Nithin Kurian

Course Leader

Nithin Kurian is a Design Thinker and Innovator with rich experience in operations, customer success and consultancy in the Ed-Tech Space.

Read More
Team Member

Angela Mathew

Module Presentor

Angela Mathew is an alumni of the Cochin University of Science and Technology and IIT Delhi. She is UGC-NET qualified in Management.

Read More
Team Member

Bob Sukesh

Manager-Customer Experience and Engagement

Mr Bob Sukesh is a (NASSCOM) certified Trainer and specializes in Customer Management. He has a rich working experience with varied global clientele.

Read More
Team Member

Greeshma Pradeep Kartha

Module Presentor

Greeshma Kartha is an experienced software engineer, researcher, and academician in the field of Computer Science

Read More
View All

Frequently Asked Questions

All applicants are required to upload copy of the government-issued photo identity card.

Follow these steps to formally enroll in the Postgraduate Diploma in Data Sciences:

1. Register on Athena Global Education for a free 7-day trial.
2. Upload all the documents as required under the 'Eligibility Criteria' to the learning portal by clicking on 'Enroll Now' on the learning dashboard.
3. The academic panel will then review your documents and if found to be eligible, send you an 'Admission Offer Letter'.
4. On receiving the 'Admission Offer Letter', you can pay for one module.
5. You can pay for multiple modules together if you like. However, you will be given access to subsequent module content only after completing the previous module.
Once your payment is confirmed, you will be sent an official 'Admission Letter' along with a receipt for the amount paid. You will also get access to the Assignment related documents in the 'Project Details' section.

If you are unsure about your eligibility or if you do not have a Bachelor's degree, then contact us at admissions@uniathena.com and attach the relevant documents in your email. You won't be asked to make a payment until we determine you are eligible to be admitted.
Once you register for the course, you will have access to the learning resources of the first module (or "course" in the American system) where you can access the learning materials and the e-library. Your access to these learning resources will end after 7 days of registration and you will need to enroll for the program by paying fees for the first module. In order to be eligible for admission, you must upload all the eligibility-related documents on the learning portal and subsequently must have received an 'Offer of Admission' letter.
The core resources of the program are video classes and related reading material. Each module is divided into about 50 easy-to-assimilate videos to make your study easier. The video lessons provide you with adequate knowledge to understand the module content.

Apart from the video classes and reading material, you will be given access to live, interactive online classes where you will be able to attend a virtual classroom and communicate with instructors and your fellow students. This is an opportunity for students to clarify their doubts and get a clear understanding of how to work on the assigned project.

Additionally, you will also be learning from webinars, online library, and participation in the discussion boards, additional learning materials and case studies curated by faculty.
Yes, whenever a learner joins, s/he will be assigned a Personal Tutor, whom the learner can reach out for any academic assistance. For any non-academic assistance, learners can reach out to the learners Experience Officer (see@uniathena.com).
The course contains the following modules:
Introduction to Data Analytics
Application of Data Analytics
Machine Learning
Data Visualization
Blockchain Essentials
You can complete this Postgraduate Diploma from a minimum of 5 months to a maximum of 10 months, based on your pace, time, and financial availability.
Each module must be completed within 60 days of the enrollment date. The shortest time allowed for submission of assignment is 21 days from the date of enrollment.
The course outlines and learning outcomes are given as downloadable documents on the webpage of the course and also in the assignment brief.

Most Popular Online Specialisations

Trending Online

Top Universities Online Certificates

Accredited Online Degree Program