Dublin City University (DCU) typically requires applicants to have a minimum undergraduate degree classification of Second Class Honours, Grade 2 (2.2) or equivalent.

A CGPA of 5.19 (49.31%) may not meet the minimum requirement for admission to DCU, as it is below the minimum Second Class Honours, Grade 2 (2.2) classification. However, admission requirements may vary depending on the specific program and the competition for places in that program.

The admission requirements for Master's programs at Dublin City University (DCU) can vary depending on the specific program you are interested in. However, there are some general admission requirements that most programs share:

• Academic Qualifications: DCU typically requires applicants to hold a Bachelor's degree from a recognized institution with a minimum grade of Second Class Honours, Grade 2 (2.2) or equivalent. Some programs may have additional academic requirements, such as specific undergraduate majors or prerequisites.
• English Language Proficiency: For applicants whose first language is not English, DCU requires proof of English language proficiency through standardized tests such as TOEFL or IELTS. The minimum score required may vary by program.
• Work Experience: Some programs may require or strongly recommend relevant work experience in a related field.
• References: Most programs require applicants to submit references from academic or professional sources.
• Application Materials: In addition to the above requirements, applicants are typically required to submit a completed application form, transcripts from all previous educational institutions attended, a personal statement, and a CV.

In general, a master's degree in business analytics (MSBA) program typically requires a bachelor's degree as a prerequisite. Therefore, 15 years of education would include a bachelor's degree and some additional coursework.

However, the specific requirements for an MSBA program can vary, so it's a good idea to check with the specific program or school to determine their requirements. Some schools may have additional requirements, such as work experience, GMAT or GRE scores, or prerequisites in certain subjects. It's also important to note that the length of an MSBA program can vary, with some programs lasting one year and others lasting two years or more.

There are many universities around the world that offer master's degrees in business analytics (MSBA). Here is a list of some countries and universities that offer MSBA programs:

1. United States:

• Massachusetts Institute of Technology (MIT)
• Stanford University
• University of California, Berkeley
• Carnegie Mellon University
• New York University
• University of Chicago
• University of Pennsylvania

2. United Kingdom:

• University of Oxford
• University of Cambridge
• London School of Economics and Political Science
• University College London
• Imperial College London

3. Australia:

• University of Melbourne
• Australian National University
• University of Sydney
• University of Queensland

4. Germany:

• Technical University of Munich
• Ludwig Maximilian University of Munich
• Heinrich Heine University Düsseldorf
• University of Mannheim
• University of St. Gallen

This is just a small sample of the many universities that offer MSBA programs. There are many other universities in these countries and around the world that offer similar programs.

The United States is not only one of the most popular tourist destinations, but it is also highly regarded for its excellent and well-equipped universities. The rapid advancement of technology has resulted in high demand for computer science graduates. Furthermore, a degree from the United States is globally preferred and accepted, making graduates from these universities globally recognised. Thus, pursuing an MS in Computer Science in the United States will result in strong career outcomes in all essential areas. Because computer science is an ever-changing and vast field, it is critical to select the right university and specialisation to ensure future success. The following are some of the most popular computer science specializations:

Information Science and Management Information Systems
Data Science and Analytics
Human-Computer Interaction
Cloud Computing
Software Engineering
Cyber Security
Machine Learning and Artificial Intelligence
Theoretical Computer Science
Robotics
Higher education in a computer science course in the United States can pave the way for better pay and positions in the industry. In the United States, professionals with a master's degree in computer science can expect to earn a minimum of $60,000 (INR 47L) per year and a maximum of $140,000 per year. If you have any further questions, just ask me.

Regarding subjects or majors, STEM fields are always the most popular. However, business and management studies, as well as liberal arts, are not far behind. MS Computer Science in the United States is a field that stands out in terms of popularity among Indian students. For Indian and international students, the United States has long been the most popular study-abroad destination. According to the United Nations Educational, Scientific, and Cultural Organization, 64% of Indian students who study abroad go to the United States for graduate studies (MS and Ph.D.), while only 12% go for undergraduate studies. Here is a list of top specializations you can target:

Artificial Intelligence
Machine Learning
Data Science & Analytics
Robotics
Software Engineering
Human-Computer Interaction
Information Science & Management Information Systems (MIS)
If you have any further questions just ask me.

Machine learning is a very big part of data science. It’s not like you can graduate from a data science masters without going through machine learning. And as data science is probably the most popular area of work now, learning machine learning is not a bad idea after all. This way, you can be more relevant and get access to in-demand jobs.

Machine learning is basically eliminating human intervention in certain tasks and operations. In data science when you deal with data sets, it's not ideal to go through each and every piece of information by yourself. Machine learning basically works to develop methods that can work pre-programmed and avoid human intervention. If you are thinking that it is like artificial intelligence (AI), you’re correct.

Now, machine learning is one of the most important things to learn. Jobs and careers in data science are bombings and many professionals a re-earning more than $120,000 (around 90 lakhs) annual salaries in the best places. If this is not enough to intrigue you here are a few reasons why data science machine learning is so much beneficial -

• In-demand: Data science is currently the most sought-after profession in top countries. Big MNCs and firms are offering good job roles and good paychecks to data science graduates that have a good grasp of machine learning. Because AI is increasing rapidly and it seems most of the tech will revolve around it, it makes even more sense for you to join it.
• Lucrative: Did you know that the average salary for a machine learning engineer is $111,513 (over 86 lakhs) per year in the United States? This data is up to date recorded in May 2022 from 812 salary reports. If you are a data science enthusiast, I suggest picking machine learning as your specialization in a master's course.
• Versatile career: With machine learning, it's not like you will be limited to one field only. You can work in data science, AI, engineering, analytics and many more fields. Machine learning is a versatile career option. In later years, you would be more likely to change your profession or move to the next step.
• Relevant: As data science fields are growing rapidly, machine learning is becoming one of the most relevant professions. We know that finding a good job in the current market is not an easy task. Why not pick a relevant area that will be here for years?

There are more than enough reasons to join data science machine learning. Not just relevance and earning but it is also a creative field where you can show your potential. Technology is always evolving and I suggest you pick the right course for it. If you want help, I can most definitely assist.

Artificial intelligence, machine learning, robotics, and data science have enormous potential. Additionally, you become eligible for work chances when you pursue your master's in the UK.

Let's look up the universities in the UK

1. University of Oxford

Conditions for Eligibility

• A bachelor's degree in mathematics, computer science, economics, business, engineering, or science from an institution that has been approved.
• The TOEFL score was 88 out of 120.
• GMAT score of at least 650.
• IELTS 6.5 and above.
• Two years or more of relevant job experience and strong English speaking abilities.

Student fees
The curriculum costs the University of Oxford 22,927 USD per year.

2. University of Cambridge

Conditions for Eligibility

• Hold a four-year undergraduate computer science degree or an equivalent degree.
• On a 3.0 or 4.0 average for undergraduate work.
• Being able to show comprehension in the following four areas is equivalent to having completed six undergraduate courses:
• Computer architecture and systems theory A PTE score of 68/90, an IELTS score of 7, and a TOEFL score of 100/120 are required for software applications.

Student fees
The University of Cambridge costs USD 10,700 in tuition for one academic year.

3. Imperial College London

Conditions for Eligibility

• The candidate must possess an undergraduate degree from an accredited post-secondary institution and have earned a minimum grade point average of B+ during the previous two years or its equivalent in all of their coursework.
• The GMAT and GRE results of the applicant must be satisfactory.
• The candidate's IELTS score must be 7 out of 9.

Student fees
This program has an annual tuition cost of USD 80,1000.

4. University College London (UCL)

Conditions for Eligibility

• Have an IELTS score of 7/9 and a TOEFL score of 90/120.
• Possess a working understanding of Python programming and a fundamental understanding of statistics. Transcripts from your college should be provided.
• Provide a recommendation letter, a goal statement, and proof of their financial status.

Student fees
For the program, the university levies an annual cost of USD 22,388.

5. King's College

Eligibility Requirements

• Hold a four-year undergraduate computer science degree or an equivalent degree.
• On a 3.0 or 4.0 average for undergraduate work.
• Being able to show comprehension in the following four areas is equivalent to having completed six undergraduate courses:
• Computer architecture and systems theory A PTE score of 68/90, an IELTS score of 7, and a TOEFL score of 100/120 are required for software applications.

Tuition Fees
The tuition fee for the entire course is USD 455,000.

Select the course from the list and enrol to enhance your career and advance the success ladder.