BSc (Hons) Data Science and Neuroscience

Keele University campus

 

INTAKE: September

Program Overview

The BSc (Hons) Data Science and Neuroscience program at Keele University is designed to equip students with a deep understanding of data analysis techniques and their application in neuroscience research and healthcare. This interdisciplinary degree integrates core concepts from data science and neuroscience, providing students with the skills to tackle complex problems at the intersection of these fields. Students learn to collect, analyze, and interpret data related to brain function, cognitive processes, and neurological disorders using advanced computational methods. Through this program, students gain practical experience in data manipulation, statistical analysis, machine learning, and neuroimaging techniques, preparing them for diverse career paths in research, healthcare, and technology sectors.

  1. Integration of Data Science and Neuroscience: The program combines foundational knowledge in data science with a deep understanding of neuroscience principles. Students learn to apply computational techniques to analyze brain data and extract meaningful insights.

  2. Advanced Computational Skills: Students acquire proficiency in programming languages such as Python, R, and MATLAB, which are essential for data analysis and modeling in neuroscience. They gain hands-on experience in data visualization, statistical analysis, and machine learning.

  3. Neuroimaging and Brain Mapping: The curriculum includes modules on neuroimaging techniques such as MRI (Magnetic Resonance Imaging) and EEG (Electroencephalography), enabling students to explore brain structure and function using imaging data.

  4. Interdisciplinary Projects and Research: Students engage in interdisciplinary projects that bridge data science and neuroscience, collaborating with faculty members on research initiatives focused on brain modeling, neural networks, and cognitive computing.

  5. Practical Application in Healthcare and Technology: Graduates are equipped to work in healthcare settings, contributing to diagnostic tools, treatment planning, and therapeutic interventions based on neuroscientific data. They are also prepared for roles in technology companies, developing algorithms and AI applications for neuroscience research and brain-computer interfaces.

  6. Industry-Relevant Skills: The program emphasizes professional skills development, including teamwork, communication, and project management, to prepare students for success in industry and research environments.

Pollster Education

Location

Keele University campus

Pollster Education

Score

IELTS: 6

Pollster Education

Tuition Fee

£ 17900

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education or equivalent with a minimum overall average of 60% or above.  

English Language Proficiency: 

  • IELTS: Overall score of 6.0, with no sub-score below 5.5.
  • TOEFL: Overall score of 79, with a minimum score of 19 in each section.
  • PTE Academic: Overall score of 57, with no sub-score below 50.

Students must provide:

  • academic marksheets & transcripts
  • letters of recommendation
  • a personal statement - SOP
  • passport
  • other supporting documents as required by the university.

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.

Keele University offers a range of scholarships and financial support options to attract and assist international students in pursuing their studies. These scholarships are designed to recognize academic excellence, promote diversity, and provide financial assistance to deserving students.

International Excellence Scholarship: The International Excellence Scholarship is awarded to high-achieving international undergraduate students. The scholarship provides a tuition fee discount of up to £2,500 per year for the duration of the undergraduate program. Eligibility is based on academic merit and applicants are automatically considered when they submit their application for admission.

Keele International Student Scholarship: The Keele International Student Scholarship is available to international students enrolling in a postgraduate taught master's degree program. The scholarship provides a tuition fee discount of up to £3,000. Eligibility is based on academic achievement, and applicants are automatically considered when they apply for their chosen postgraduate program.

Commonwealth Shared Scholarship Scheme: Keele University participates in the Commonwealth Shared Scholarship Scheme, which is funded by the UK government. The scheme provides full tuition fees, airfare, and living expenses for students from developing Commonwealth countries. The scholarship is available for selected master's degree programs in specific fields of study.

Global Excellence Scholarship: The Global Excellence Scholarship is awarded to international students who have demonstrated outstanding academic achievement and contribute to the global community. The scholarship provides a tuition fee discount of up to £5,000 for the first year of study. Eligibility is based on academic merit, and applicants are automatically considered when they apply for an eligible undergraduate or postgraduate program.

Country-Specific Scholarships: Keele University also offers scholarships specifically tailored to students from certain countries or regions. These scholarships may vary in terms of eligibility criteria and funding amounts. Examples include the Keele Nigeria Scholarship and the Keele ASEAN Scholarships, which provide financial support to students from Nigeria and Southeast Asia, respectively.

It's important to note that scholarship availability and eligibility criteria may vary each year.

The BSc (Hons) Data Science and Neuroscience program equips graduates with a unique skill set that is highly valued in a range of industries where data-driven insights into brain function and neurological disorders are essential. Graduates emerge with the ability to apply data analysis techniques to understand complex brain phenomena and develop innovative solutions.  

  1. Neuroinformatics Specialist: Graduates can pursue roles as neuroinformatics specialists, leveraging their expertise in data science to analyze large-scale datasets related to brain imaging, electrophysiology, and genetics. They work closely with neuroscientists to interpret findings and contribute to cutting-edge research projects.

  2. Data Scientist in Healthcare: With a strong foundation in data analytics and neuroscience, graduates can work in healthcare organizations, applying machine learning algorithms to diagnose neurological disorders, predict treatment outcomes, and optimize patient care based on data-driven insights.

  3. Research Scientist (Neuroscience): Many graduates choose to pursue research careers in academia, government research institutions, or private laboratories. They conduct research on brain function, neural networks, and cognitive processes, exploring new methodologies and technologies to advance our understanding of the brain.

  4. Biotechnology and Pharmaceutical Industry: Graduates can enter the biotechnology and pharmaceutical sectors, contributing to the development of novel therapies for neurological conditions. They may work on drug discovery, clinical trials, and personalized medicine initiatives driven by data science approaches.

  5. Health Tech and Medical Devices: In the rapidly evolving field of health technology, graduates can contribute to the development of neuroimaging tools, wearable devices, and digital health platforms that enable remote monitoring and early detection of neurological disorders.

  6. Consultant (Data Analytics): Some graduates leverage their expertise in data science to work as consultants, providing analytical support to healthcare organizations, research labs, or technology companies focused on neuroscience applications.

  7. AI and Machine Learning Engineer: With advanced skills in machine learning and neural network modeling, graduates can pursue roles in companies developing AI-driven solutions for neuroinformatics, brain-computer interfaces, and cognitive computing applications.

  8. Academic and Industry Partnerships: Graduates may collaborate with universities, hospitals, or industry partners on interdisciplinary projects, bridging the gap between data science and neuroscience to address real-world challenges.


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