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University of Suffolk

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Suffolk

United Kingdom

The Master of Science in Data Science and Artificial Intelligence program at the University of Suffolk is meticulously designed for the modern age, where data-driven decision-making is paramount across industries. This advanced program spans 12 to 14 months, offering students a robust foundation in both theoretical concepts and practical applications of data science and artificial intelligence. As the demand for data professionals rises, this master's program prepares students to excel in a variety of roles, equipping them with the necessary skills to navigate complex data environments.


With an engaging curriculum, the program covers extensive areas of data science, including machine learning, artificial intelligence, data systems, and security. Students will have the opportunity to delve deep into specialized courses that enhance their understanding of essential concepts such as statistics, data preparation, database systems, and practical machine learning. The program emphasizes hands-on experience, ensuring that graduates are not only knowledgeable but also proficient in real-world applications of data science.


The faculty at the University of Suffolk comprises seasoned experts and industry practitioners who bring a wealth of knowledge and experience to the classroom. Their teaching methodologies are centered around a blend of traditional lectures and modern pedagogical approaches, such as project-based learning and interactive workshops. This dynamic learning environment fosters collaboration, critical thinking, and innovation among students, preparing them for the challenges of the fast-evolving tech landscape.


As part of the program, students will engage in various research opportunities that align with current industry needs and technological advancements. The University of Suffolk is committed to providing access to state-of-the-art resources, including cutting-edge laboratories and software tools. These resources empower students to conduct significant research projects that can influence the future of data science and artificial intelligence.


In addition to a strong academic foundation, the program boasts impressive industry connections that facilitate internship and job placement opportunities. Collaborations with leading companies offer students the chance to gain practical experience through internships, allowing them to apply their knowledge in real-world settings. This exposure not only enhances their resumes but also helps build a professional network that can be invaluable for future career advancements.


Upon graduation, students of the Master of Science in Data Science and Artificial Intelligence program can pursue a plethora of lucrative career pathways. Potential job roles include Artificial Intelligence Engineer, Data Scientist, Data Engineer, and Business Analyst among others. With an average base salary of around £40,000, graduates are well-positioned in a competitive job market where the need for skilled data professionals continues to grow.


Alumni of the program have successfully transitioned into high-demand industries, with many sharing their positive experiences. Testimonials highlight how the rigorous curriculum and supportive faculty have played a pivotal role in their professional achievements. This strong track record of success is a testament to the effectiveness of the program and the dedication of the University of Suffolk to student success.


Unique features of the Master of Science in Data Science and Artificial Intelligence program include flexible learning options, opportunities for international exposure, and a strong emphasis on ethical data practices. Students benefit from a diverse classroom environment, with 20% of the student body comprising international students, enriching discussions and collaborative projects.


Program Curriculum and Specific Courses

The curriculum is designed to be both comprehensive and practical, including the following core modules:

  • Applied Statistics
  • Database Systems and Data Preparation
  • Practical Machine Learning
  • Artificial Intelligence Techniques
  • Big Data Analytics
  • Data Visualization
  • Software Engineering Principles

These courses are complemented by practical projects and a final capstone project, providing students with opportunities to showcase their skills and knowledge.


Why Study Data Science and Artificial Intelligence at University of Suffolk
  • Experienced faculty with industry insights and expertise.
  • Access to state-of-the-art facilities and resources for practical learning.
  • Strong industry connections leading to internships and job opportunities.
  • Diverse student community fostering global perspectives and collaboration.
  • Focus on ethical practices in data science and technology.

To apply for this program, prospective students must meet specific eligibility criteria, including the submission of academic transcripts, a resume, and letters of recommendation. Additionally, international students are required to demonstrate English proficiency through standardized tests such as TOEFL, IELTS, or PTE, with specified minimum scores.


In conclusion, pursuing a Master of Science in Data Science and Artificial Intelligence at the University of Suffolk provides a comprehensive path toward achieving a successful career in one of the most dynamic fields today. With a strong emphasis on both learning and practical application, students will be well-prepared to meet the demands of the ever-evolving job market.

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Duration

12 Months

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Median Salary

$35,000

Class Profile

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Class Size

25

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Average Age

24

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Average Work Experience

1 Years

Diversity

International:

10%

Others:

5%

South West England:

10%

South East England:

25%

East of England:

45%

London:

15%

North West England:

5%

Career Outcomes

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Median Earnings After Graduation

$35,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Statistician

Research Scientist

Software Engineer

Data Engineer

Data Visualization Specialist

IT Security Analyst

Data Analyst

IT Auditor

Quantitative Analyst

Data Scientist

Business Analyst

Big Data Engineer

Data Architect

DevOps Engineer

IT Project Manager

Cloud Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    93

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  • IELTS

    6.5

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  • PTE

    67

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$13,995 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Suffolk offers a number of scholarships for students studying MSc Data Science and Artificial Intelligence. These scholarships are awarded based on academic merit, financial need, or a combination of the two. The scholarships range in value from £500 to £5,000.
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    The University of Suffolk

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    The Royal Statistical Society

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    The British Computer Society

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    The Alan Turing Institute

FAQs

  • A student can complete Data Science and Artificial Intelligence at University of Suffolk with in 12.

  • The annual tuition fee to pursue Data Science and Artificial Intelligence at University of Suffolk is GBP 13995.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Suffolk. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Suffolk requirements before submitting a score.

  • Data Science and Artificial Intelligence can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of University of Suffolk, they can easily pursue Data Science and Artificial Intelligence. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at University of Suffolk can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Suffolk website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Suffolk by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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