Postgraduate Diploma In Data Science

100 Credits (CIQ)

Postgraduate Diploma In Data Science

Data science transforms vague data into meaningful insights, informing crucial organizational decisions. It employs scientific methods, processes, algorithms, and systems to extract knowledge from data, enabling informed decision-making, risk calculation, audience targeting, and identification of 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 learner's pace and time availability. 

Course Module & Fee

Module Fee

$1500 (300 per module, for 5 modules)

PGD-CIQ Certification Fee

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

Total Fees

$1700

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.

Why UniAthena?

Flexible

At UniAthena, 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 UniAthena 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

UniAthena 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.

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Certifications

Postgraduate Diploma In Data Sciences
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Flexible Duration

5-10 Months
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Learning

Online

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What You Learn

Module 1

Introduction to Data Analytics

Introduction to Data Analytics

Duration: 21 - 60 Days

This module provides a conceptual understanding of the different forms of analytics that it practiced in the business world.

21 - 60 Days

Level: EQF Level 7

Credits: 20 CIQ CREDITS

Module 2

Application of Data Analytics

Application of Data Analytics

Duration: 21 - 60 Days

This module aims for data analytics in business and equips them with knowledge, skills, and tools to apply data analytics.

21 - 60 Days

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 3

Machine Learning

Machine Learning

Duration: 21 - 60 Days

The objective of this module is to make learners understand the different machine learning problems and how to design a learning system.

21 - 60 Days

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 4

Data Visualization

Data Visualization

Duration: 21 - 60 Days

The objective of this module is to aid in telling tales by transforming data into a more understandable format and showing trends and outliers.

21 - 60 Days

Level: EQF Level 7

Credits: 20 CIQ Credits

Module 5

Blockchain Essentials

Blockchain Essentials

Duration: 21 - 60 Days

The aim of this module is to provide a high-level understanding of Blockchain Technology, the different use cases of Blockchain such as Defi, CBDC, SSI and NFT.

21 - 60 Days

Level: EQF Level 7

Credits: 20 CIQ Credits

100.00%

Students would Recommend this Course 

100.00%

Students Observed Improvement in Performance at Work 

Partners of this Programme

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.


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Admission Process

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

Why This Course ?

Course Resources

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

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 a lucrative, high-demand field with diverse opportunities across industries, playing a pivotal role in shaping global markets and decisions in the future.

How You Learn ?

Engage with a scientifically developed learning pedagogy that ensures a quality and effective journey for the learners. Enjoy a seamless learning experience tailored to your level of expertise on the subject matter.

What You Receive ?

You will be receiving the following certificates as specified below:

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Postgraduate Diploma In Data Sciences issued by

Cambridge International Qualifications, UK
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Records of Achievements with Grade issued by

Cambridge International Qualifications, UK

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.

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.

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Course Team

Frequently Asked Questions

All applicants are required to upload the following documents in order to be eligible for admissions:

1. Proof of having earned a Bachelor's Degree - such as a Degree Certificate. If the documents are not in English, official translations should be submitted.
2. The final transcript of Bachelor's Degree.
3. A 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.

After enrolling in a particular program or receiving the admission letter, we are unable to offer refunds as per our policy. However, prior to enrollment, all learners have the option to utilize the free trial period, which lasts between 3 to 7 days.

The Referral Policy is a UniAthena initiative to make our degree programs more  affordable to the learners. Learners can  share programs with  friends, family or even peers. If the Invitee enrolls for the suggested program, the next module is made free of charge.

The core resources of the program are video classes and related reading material. The video lessons and reading materials will provide you with adequate knowledge to understand the module content.

Additionally, you will also be learning from webinars, online library, and 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).

All exempted modules will be marked as “Pass” or 50% grade. No merit or distinction grades will be granted for the exempted modules.

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.