MSc International Hospitality and Tourism Management
The MSc International Hospitality and Tourism Management program at Northumbria Univers...
BSc (Hons) Computing with Data Science and Big Data Technology
London Campus
INTAKE: Jan, May & Sept
Program Overview
Northumbria University, located in Newcastle upon Tyne, UK, offers an innovative program, BSc (Hons) Computing with Data Science and Big Data Technology, designed to equip students with the knowledge and skills required to excel in the rapidly growing field of data science and big data technology. This program integrates theoretical foundations with practical applications to prepare students for careers in data analysis, machine learning, data engineering, and related fields.
Curriculum: The curriculum of the BSc (Hons) Computing with Data Science and Big Data Technology program at Northumbria University is carefully structured to cover a comprehensive range of topics essential for success in the field. Courses include fundamentals of computing, programming languages, database management, statistics, machine learning, data visualization, big data technologies, and data ethics. Through a blend of theoretical concepts and hands-on projects, students develop proficiency in data manipulation, analysis, and interpretation using cutting-edge tools and techniques.
Research Focus: Northumbria University maintains a strong focus on research within the field of data science and big data technology. Faculty members actively engage in research projects exploring advancements in data analytics, machine learning algorithms, big data processing frameworks, and applications in various domains. Students in the BSc (Hons) Computing with Data Science and Big Data Technology program benefit from exposure to research-led teaching, gaining insights into emerging trends and contributing to research initiatives through project work and dissertations.
Industry Engagement: Recognizing the importance of industry engagement, Northumbria University collaborates closely with leading companies and organizations in the data science and technology sectors. Through guest lectures, industry projects, and internship opportunities, students have the opportunity to interact with industry professionals, gaining practical insights and real-world experience. Additionally, the university hosts networking events, hackathons, and career fairs to facilitate connections between students and potential employers in the data-driven industry.
Global Perspective: The BSc (Hons) Computing with Data Science and Big Data Technology program at Northumbria University integrates a global perspective into its curriculum, reflecting the universal applicability of data science and big data technologies. Modules explore global trends in data analytics, case studies from international industries, and ethical considerations in data-driven decision-making. Students gain an understanding of how data science is applied across different cultural contexts and industries worldwide, preparing them for careers in multinational corporations, research institutions, or technology startups with global reach.
Location
London Campus
Score
IELTS 6
Tuition Fee
£ 19000
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- PTE Academic: A minimum overall score of 54 with no individual score below 51.
- Some 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.
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.
Northumbria University provides support and opportunities for international students to pursue their education. The university offers a range of scholarships specifically designed to assist international students with their tuition fees and living expenses. These scholarships recognize academic excellence, leadership potential, and contribution to the community.
Northumbria Global Scholarship: The Northumbria Global Scholarship is a merit-based scholarship available to international undergraduate and postgraduate students. It provides a partial tuition fee reduction of up to £6,000 for the first year of study. The scholarship is awarded based on academic achievement, and applicants are automatically considered upon applying for a full-time course at Northumbria University.
Country-Specific Scholarships: Northumbria University also offers scholarships specific to certain countries or regions. These scholarships aim to attract high-achieving students from specific countries or regions and provide financial support for their studies at Northumbria University. The eligibility criteria and application process vary depending on the specific scholarship, and interested students should check the university's official website for more information.
External Scholarships: International students may be eligible for external scholarships provided by government bodies, organizations, or foundations in their home countries. These scholarships are external to the university but can be used to support studies at Northumbria University.
Graduates of the BSc (Hons) Computing with Data Science and Big Data Technology program at Northumbria University are well-positioned to pursue a wide range of exciting career opportunities in the rapidly growing field of data science and big data technology.
Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting large volumes of data to extract valuable insights and inform business decisions. Graduates in this role use statistical techniques, machine learning algorithms, and data visualization tools to uncover patterns, trends, and correlations in data. They work across various industries, including finance, healthcare, e-commerce, and marketing, to solve complex problems and drive innovation.
Data Analyst: Data analysts focus on examining data sets to identify trends, patterns, and outliers that can provide valuable insights for businesses. Graduates in this role clean and preprocess data, perform exploratory data analysis, and create reports and visualizations to communicate findings to stakeholders. Data analysts work in diverse industries, including retail, telecommunications, and government agencies, helping organizations make data-driven decisions to improve performance and efficiency.
Big Data Engineer: Big data engineers design, develop, and maintain the infrastructure and systems required to process and analyze large volumes of data efficiently. Graduates in this role work with big data technologies such as Hadoop, Spark, and NoSQL databases to build data pipelines, data warehouses, and data lakes. They collaborate with data scientists and analysts to ensure data accessibility, reliability, and scalability for analytical purposes.
Machine Learning Engineer: Machine learning engineers specialize in developing and implementing machine learning models and algorithms to automate predictive analytics and decision-making processes. Graduates in this role design algorithms, train models, and deploy solutions for tasks such as image recognition, natural language processing, and recommendation systems. Machine learning engineers work across industries, including technology, healthcare, and finance, to develop innovative solutions that leverage data to drive business outcomes.
Business Intelligence Analyst: Business intelligence analysts focus on transforming raw data into actionable insights to support strategic business decisions. Graduates in this role design and develop dashboards, reports, and interactive visualizations to monitor key performance indicators (KPIs) and track business metrics. They work closely with stakeholders to identify business requirements and provide data-driven recommendations for improving organizational performance and competitiveness.
Data Engineer: Data engineers are responsible for designing, constructing, and maintaining data pipelines and architectures to facilitate data processing, storage, and retrieval. Graduates in this role work with data integration tools, databases, and cloud technologies to ensure the efficient flow of data across systems. They collaborate with data scientists and analysts to ensure data quality, integrity, and availability for analytical purposes.
Business Analyst: Business analysts bridge the gap between business objectives and technical solutions by analyzing business processes, identifying opportunities for improvement, and defining requirements for IT projects. Graduates in this role work with stakeholders to understand business needs, assess existing systems, and propose technology solutions that align with organizational goals. They play a vital role in driving digital transformation and process optimization within organizations.
IT Consultant: IT consultants provide advisory services to organizations on technology-related matters, including data management, analytics, and digital transformation. Graduates in this role assess IT infrastructure, evaluate technology solutions, and develop strategies to enhance operational efficiency and competitiveness. They work with clients across industries to address challenges, implement best practices, and maximize the value of technology investments.
