Year 1
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The first year of an Level 5 in Data Science is an exciting and rigorous time that sets the foundation for success in the field.
Students will study the following eight courses during the first academic year. Instruction will be supported through formative and summative assessments with a focus on global employability skills. Students can also opt to only study the first year at ATH and transfer to study in the UK for two years of study at a UK university.
Students will be provided a foundation for good practice in a variety of contexts and provide an opportunity for students to examine the evolution and impact of digital technologies on work environments.
This unit introduces students to a number of tools and techniques like operational agility, culture, leadership, customer experience, and integration of digital technology that organisations use to transform and become more innovative in their approach.
This unit has been designed to develop students’ knowledge and understanding in relation to cyber threats and vulnerabilities, cyber defence techniques and develop strategic responses to cyber security threats.
This unit introduces students to the core concepts of programming with an introduction to algorithms and the characteristics of programming paradigms. Throughout this unit, students use algorithms to describe the solution to a given problem or task.
This unit creates opportunities to progress to a range of roles in the digital sector and develop industry-led skills, analysis, and interpretation, crucial for developing practical experiences with big data and gaining employment.
In this unit, students will have gained knowledge and skills to be able to successfully implement, operate and improve a cloud network and the operation of cloud-based data networks.
In this unit is to give students opportunities to develop an understanding of the concepts and issues relating to database design and development, as well as to provide the practical skills to translate that understanding into the design and creation of complex databases.
In this unit, students will understand the theoretical foundation of data analytics, data analytic processes and techniques using a programming language such as Python, R, or a tool such as Weka, KNIME, PowerBI, Excel etc.
Students will study the following eight courses during the second academic year. Instruction will be supported through formative and summative assessments with a focus on global employability skills. Students will progress to study in the UK for the final year top-up Honours degree in Data Science and Analytics at a UK university.
In this unit of study, students will examine the concept of business processing in terms of data capture, conversion and information output.
In this unit students will be able to explain the basic concepts of IoT; design, build and simulate an IoT application using any combination of hardware, software, data, platforms and services and; discuss problems IoT applications solve.
In this unit, students will be able to explain some of the most promising and impactful emerging technologies and understand the impact that emerging technologies have on the development of software applications.
In this unit, students will gin knowledge and skills to use risk-based testing (RBT) using a medium-sized application, developing a full and detailed RBT procedure and documenting the results.
This unit introduces students to applied analytical models used in business to discover, interpret and communicate meaningful patterns of data held in silos or data warehouses, and to derive knowledge to gain competitive advantage.
In this unit is to enhance students’ understanding of contemporary business information technology (IT) systems and how organisations develop and continuously review their IT strategy in order to gain and maintain competitive advantage.
In this unit, students will have gained a wide range of knowledge and understanding of the issues and topics associated with sustainability and the importance of a low carbon economy.
In this unit, students will investigate contexts prior to negotiation, information management prior to and during negotiation, the process of developing and presenting a case and be able to assess the successes of a new pitch.
Year 2
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The program’s aim is to provide students with a firm understanding and hands-on experience in different aspects of data science, preparing them for careers in the industry.
Low Tuition Fee
Save over 90% in Tuition Fee for the academic year 2023
A student opting to study in the UK would pay an average of £13,500 in tuition fees. ATH is excited to make the same program progression available with over 90% savings in the tuition fee. ATH maintains a transparency policy and does not levy any hidden fee. The following fee is inclusive of all fees to be paid by the student for Level 5 (Year 1) in Data Science Analytics.
Academic Year: Sept 2023 - July 2024
Admission Fee | PKR 150,000 | Non-refundable fee paid at the time of admission |
Semester One Fee | PKR 202,500 | The complete fee paid one week prior to commencement of the semester |
Semester two Fee | PKR 202,500 | The complete fee paid one week prior to commencement of the semester |
International Fee | £350 | Paid annually by the fifth week of the first semester |
Greetings! We are elated to share with you some fantastic news as ATH (Academic Training Hub) is committed to supporting and providing career counseling to high school students in unlocking their full potential by offering amazing opportunities that would shape and mold their future global careers. In line with this, we are thrilled to present our exclusive and tailor-made UK scholarships, designed specifically for aspiring Data Analysts.
Our Early Bird Scholarship is an excellent chance for students to kick-start their careers before others. Further, the Data Science Student Scholarship that we offer will cover 15% of tuition fees, providing students with the best platform to pursue their passions in Data Science and analytics.
Moreover, the London Scholarship and Wales Scholarship are two outstanding opportunities available to talented students who have shown exceptional skills in game design and development, and those seeking to access the cutting-edge data industry in Wales. These scholarships aim to empower and motivate young minds, stimulate their creativity, and develop future leaders.
So don’t wait any longer and apply today to take the first step to study in the UK.
Final Year Study in the UK
A $103 Billion
Data Science and Analytics
by 2026
Two years of Level 5 specializing in Data Science and Analytics at ATH in Pakistan leads to a one-year top-up BSc Hons in Data Science degree that you can study in the UK at a competitive UK university.
This three-year course of UK study is an amazing learning experience where you get to meet experienced faculty and professionals across the data mining and predictive modeling industry.
Student life in the UK can help build life-long relationships and open doors towards a lucrative career in the UK. The Data Science industry has an annual growth rate of over 22% and is set to expand to $103 Billion by 2026, just as you start your career with a UK Degree!
From the cheapest university in UK to the most competitive, ATH ensures you progress towards a UK degree as comfortably as you are able to through our pathway.
Jobs in London & International
London, as a global hub for finance, technology, and innovation, offers a plethora of job opportunities in data science and analytics.
The city is home to numerous multinational corporations, cutting-edge startups, and renowned research institutions, creating a dynamic environment for professionals in this field.
Job seekers can find positions ranging from data scientists and analysts to machine learning engineers and data architects.
London’s diverse industries, such as finance, healthcare, marketing, and e-commerce, provide ample opportunities for professionals to apply their skills.
Courses That May Interest You
ATH offers numerous computing courses that may interest you depending on your passion and career goals.
Artificial Intelligence
Cyber Security
Data Science and Analytics
Human Resource Management
Marketing
