MA Design
The University of Lincoln, located in the heart of the historic city of Lincoln, offers...
MSc Data Science and Applied Analytics
Brayford Pool
INTAKE: September
Program Overview
The MSc in Data Science and Applied Analytics at the University of Lincoln is a cutting-edge program designed to meet the growing demand for skilled professionals in the field of data science. This postgraduate program is characterized by its rigorous curriculum, hands-on approach, and emphasis on practical applications. Students engage with cutting-edge tools and techniques, preparing them for impactful roles in data-driven decision-making across various industries.
Curriculum: The curriculum of the MSc Data Science and Applied Analytics program at the University of Lincoln is meticulously crafted to provide a comprehensive education in data science. Core modules cover fundamental concepts such as statistical modeling, machine learning, data visualization, and big data analytics. Additionally, students have the opportunity to specialize in areas like natural language processing, predictive modeling, and data engineering. The program ensures a balance between theoretical understanding and practical skills, preparing graduates to tackle complex data challenges in real-world scenarios.
Research Focus: The University of Lincoln maintains a robust research focus within the field of Data Science. Faculty members actively contribute to cutting-edge research projects exploring advancements in machine learning, data mining, and artificial intelligence. The MSc program integrates research-led teaching, allowing students to engage with ongoing projects and gain insights into the latest trends and developments in the dynamic field of data science.
Industry Engagement: The MSc Data Science and Applied Analytics program is closely aligned with industry needs, fostering strong connections with leading tech companies, research institutions, and data-driven organizations. Through industry-sponsored projects, guest lectures from industry experts, and internship opportunities, students gain practical insights into real-world applications of data science. The program's industry engagement ensures that graduates are not only equipped with theoretical knowledge but also possess the practical skills sought after by employers in the data science landscape.
Global Perspective: Recognizing the global relevance of data science, the University of Lincoln infuses a global perspective into the MSc program. International case studies, collaboration with data scientists from around the world, and opportunities for international research projects contribute to a comprehensive and culturally diverse educational experience. This global outlook prepares students to address data challenges on a global scale, understanding the impact of data science in different cultural, economic, and societal contexts.
Location
Brayford Pool
Score
IELTS 6.5
Tuition Fee
£ 17600
Postgraduate Entry Requirements
Academic Qualifications: Postgraduate applicants are expected to hold an honours degree with a standard of at least 55%-60%.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.
- TOEFL: A minimum overall score of 79, with no band less than 17.
- PTE Academic: A minimum overall score of 65 with no individual score below 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Lincoln, fostering talent and academic achievement, provides a range of scholarships to support and encourage students in their pursuit of higher education. These scholarships, tailored to various criteria, aim to make quality education more accessible and reward outstanding accomplishments.
Merit-Based Scholarships: The university offers merit-based scholarships for exceptional academic achievements. High-achieving students with outstanding academic records are eligible for these awards, which can significantly alleviate the financial burden of tuition fees.
Subject-Specific Scholarships: Recognizing excellence in specific academic disciplines, the University of Lincoln provides subject-specific scholarships. These awards are designed to attract and support students passionate about particular fields, fostering expertise and innovation.
International Student Scholarships: The university values diversity and welcomes students from around the world. International students can benefit from specific scholarships tailored to their unique needs, encouraging a global community and enhancing cross-cultural learning experiences.
Undergraduate and Postgraduate Scholarships: Whether pursuing an undergraduate or postgraduate degree, students at the University of Lincoln have access to a range of scholarships. These awards reflect the institution's supporting education at various levels and stages.
Financial Need-Based Scholarships: Understanding the financial challenges some students face, the university provides need-based scholarships. These awards are aimed at supporting individuals who demonstrate financial need, ensuring that the opportunity for higher education is not limited by economic circumstances.
Community Engagement Scholarships: The University of Lincoln values community involvement and social responsibility. Community engagement scholarships recognize students who actively contribute to their communities, encouraging a sense of responsibility and leadership beyond academic pursuits.
Sports and Arts Scholarships:The university recognizes the importance of sports and the arts in holistic student development. Scholarships are available for talented athletes and artists, providing support for those who demonstrate exceptional skills and achievements in these areas.
Research Excellence Scholarships: Postgraduate students engaged in cutting-edge research can benefit from research excellence scholarships. These awards aim to attract and retain outstanding researchers, contributing to the university's reputation for impactful and innovative research.
Completing the MSc in Data Science and Applied Analytics at the University of Lincoln opens up a plethora of promising and high-demand career opportunities in the rapidly evolving field of data science. Graduates are equipped with advanced skills in statistical analysis, machine learning, and data visualization, positioning them for impactful roles across various industries.
Data Scientist: Graduates can pursue roles as data scientists, leveraging their skills in statistical modeling, machine learning, and data analysis to extract meaningful insights from complex datasets. They may work on predictive modeling, pattern recognition, and other advanced analytics projects.
Machine Learning Engineer: With a focus on machine learning, graduates can specialize in roles as machine learning engineers. They design and implement machine learning models, contributing to the development of intelligent systems and applications.
Data Analyst: Graduates can enter roles as data analysts, responsible for interpreting data and providing actionable insights to support decision-making processes. They may work on data visualization, reporting, and data-driven strategies.
Business Intelligence Analyst: Graduates are well-suited for roles as business intelligence analysts, focusing on analyzing business data to identify trends, generate reports, and provide strategic recommendations for business growth and optimization.
Data Engineer: With a focus on data engineering, graduates can pursue careers as data engineers. They design and maintain data architecture, develop ETL (Extract, Transform, Load) processes, and ensure the efficient flow of data within an organization.
Big Data Analyst: Graduates can specialize in roles as big data analysts, working with large datasets to uncover insights and trends. They may use technologies such as Hadoop and Spark to analyze and process massive volumes of data.
Quantitative Analyst: With a strong foundation in statistical modeling, graduates can enter roles as quantitative analysts, working in finance or other industries to develop mathematical models for risk assessment, pricing strategies, and investment decisions.
Research Scientist (Data Science): Graduates can pursue roles as research scientists in data science, contributing to cutting-edge research projects and pushing the boundaries of data science methodologies. This may involve academia or research positions in industry.
Data Consultant: Graduates can become data consultants, offering expertise to organizations on data-driven strategies, analytics implementation, and optimizing data infrastructure. They may work independently or with consulting firms.
Chief Data Officer (CDO): With experience and leadership skills gained during the program, graduates can aspire to executive roles such as Chief Data Officer. In this capacity, they lead data-driven initiatives, shape data strategies, and oversee the use of data across an organization.
