BSc (Hons) Computing

A Bachelor of Science (BSc) in Computing is an undergraduate degrees focused on computing.

Focus: This degree typically focuses on the technical aspects of computing, such as programming, software development, computer networks, databases, and cybersecurity. It provides students with a strong foundation in computer science principles and practical skills required for various roles in the IT industry.

Curriculum: The curriculum of a BSc in Computing usually includes courses in programming languages, algorithms, data structures, computer architecture, operating systems, software engineering, and computer science theory. Elective courses may allow students to specialize in areas like artificial intelligence, machine learning, or cybersecurity.

Career Opportunities: Graduates of this program often pursue careers as software developers, systems analysts, network administrators, database administrators, cybersecurity specialists, or IT consultants. They work in various industries such as technology, finance, healthcare, and government.

Eligibility for Level 4 Diploma in Computing

Eligibility to Level 5 Diploma in Computing

For entry onto the NCC Education L5DC qualification students must have at least one of the following:

• NCC Education Level 4 Diploma in Computing (L4DC)
OR
• A local or international qualification which is deemed to be of a similar level to the NCC Education L4DC qualification. This must be agreed with NCC Education in advance

First year of Graduation: Level 4 Diploma in Computing

Term 1 – ANY Three Core units and one Specialist

Term 2 - ANY two Core units and two Specialist

Second year of Graduation: Level 5 Diploma in Computing

Term 1 – ANY Three Core units

Term 2 - ANY one Core units and two Elective

Third year of Graduation: Level 6 Diploma in Computing
Upon successful completion of the Level-5 Diploma, students will be able to get online graduation degree in BSc (Hons) Business Computing from University of Central Lancashire (UCLan), OR can go to UK for pursuing final year of Degree in one of the many universities like Plymouth University, Staffordshire University, Kingston University London, University of Worcester which recognize NCC Education qualifications.

1. Hands-On Learning: Computing is a practical field, so hands-on learning experiences are essential. This can include programming exercises, lab sessions, projects, and real-world case studies. Providing students with opportunities to apply theoretical concepts in practical scenarios helps reinforce their understanding and develop problem-solving skills.
2. Active Learning: Encouraging active participation from students fosters engagement and deeper understanding. Activities such as group discussions, peer teaching, code reviews, and collaborative projects promote active learning. Interactive exercises, quizzes, and coding challenges can also be effective in keeping students actively involved in the learning process.
3. Project-Based Learning: Assigning projects that require students to design, develop, and implement software applications or solutions is an effective way to integrate theory with practice. Project-based learning allows students to work on authentic problems, encourages creativity, and provides valuable experience in software development methodologies and tools.
4. Individualized Learning Paths: Recognizing that students may have varying levels of prior knowledge and learning styles, providing opportunities for individualized learning paths can enhance learning outcomes. This can involve offering supplementary materials, extra practice exercises, or advanced topics for students who excel, as well as additional support or remedial resources for students who may need extra assistance.
5. Incorporating Real-World Context: Connecting course content to real-world applications and industry trends helps students understand the relevance of what they are learning. Guest lectures, industry speakers, field trips to tech companies, and internships provide valuable insights into the practical applications of computing concepts and expose students to career opportunities in the field.
6. Assessment for Learning: Assessment methods should be aligned with course objectives and should evaluate not only students' knowledge but also their ability to apply concepts and skills in practical contexts. Assessments can include coding assignments, practical exams, project demonstrations, presentations, and peer evaluations. Providing constructive feedback helps students identify areas for improvement and encourages continuous learning.

IT Project Manager

Technology Consultant

Business Intelligence (BI) Developer/Analyst

Digital Marketing Manager

Information Systems Manager/Director

Business Analyst

Entrepreneur/Startup Founder

• Focus:This degree combines computing studies with business management courses. It integrates technical computing skills with business concepts such as management, finance, marketing, and entrepreneurship. Students learn how to apply computing knowledge to solve business problems and develop IT solutions that meet organizational needs.
• Curriculum:In addition to core computing courses, students pursuing this degree also take courses in business-related subjects such as accounting, economics, organizational behaviour, project management, and strategic management. They learn about the intersection of technology and business and develop skills to analyse business requirements, manage IT projects, and communicate effectively with stakeholders.
• Career Opportunities:This degree prepares graduates for roles that require a combination of technical and business skills. They may work as IT project managers, business analysts, technology consultants, product managers, or entrepreneurs. They are equipped to understand both the technical aspects of IT solutions and their impact on business operations and strategy.

Eligibility to Level 4 Diploma in Computing with Business Management

Eligibility to Level 5 Diploma in Computing with Business Management

For entry onto the NCC Education L5DC BM qualification students must have at least one of the following:

1. NCC Education Level 4 Diploma in Computing in Business Management (L4DC BM) or an NCC Education Level 4 Diploma in Computing (L4DC)
OR
2. A local or international qualification which is deemed to be of a similar level to the NCC Education L4DC BM qualification. This must be agreed with NCC Education in advance

*The student will have to fulfil the admission criteria of that particular university

First year of Graduation: Level 4 Diploma in Computing with Business Management

Term 1 – ANY Three Core units and one Specialist

Term 2 - ANY One Core units /two Specialist and one Elective

Second year of Graduation: Level 5 Diploma in Computing with Business Management

Term 1 – ANY Three Core units

Term 2 - ANY one Core units and two Elective

Third year of Graduation: Level 5 Diploma in Computing
Upon successful completion of the Level-5 Diploma, students will be able to get online graduation degree in BSc (Hons) Business Computing with Business Management from University of Central Lancashire (UCLan), OR can go to UK for pursuing final year of Degree in one of the many universities which recognize NCC Education qualifications.

1. Hands-On Learning: Computing is a practical field, so hands-on learning experiences are essential. This can include programming exercises, lab sessions, projects, and real-world case studies. Providing students with opportunities to apply theoretical concepts in practical scenarios helps reinforce their understanding and develop problem-solving skills.
2. Active Learning: Encouraging active participation from students fosters engagement and deeper understanding. Activities such as group discussions, peer teaching, code reviews, and collaborative projects promote active learning. Interactive exercises, quizzes, and coding challenges can also be effective in keeping students actively involved in the learning process.
3. Project-Based Learning: Assigning projects that require students to design, develop, and implement software applications or solutions is an effective way to integrate theory with practice. Project-based learning allows students to work on authentic problems, encourages creativity, and provides valuable experience in software development methodologies and tools.
4. Individualized Learning Paths: Recognizing that students may have varying levels of prior knowledge and learning styles, providing opportunities for individualized learning paths can enhance learning outcomes. This can involve offering supplementary materials, extra practice exercises, or advanced topics for students who excel, as well as additional support or remedial resources for students who may need extra assistance.
5. Incorporating Real-World Context: Connecting course content to real-world applications and industry trends helps students understand the relevance of what they are learning. Guest lectures, industry speakers, field trips to tech companies, and internships provide valuable insights into the practical applications of computing concepts and expose students to career opportunities in the field.
6. Assessment for Learning: Assessment methods should be aligned with course objectives and should evaluate not only students' knowledge but also their ability to apply concepts and skills in practical contexts. Assessments can include coding assignments, practical exams, project demonstrations, presentations, and peer evaluations. Providing constructive feedback helps students identify areas for improvement and encourages continuous learning.
7. Integration of Emerging Technologies: Computing is a rapidly evolving field, so it's important to integrate emerging technologies and current trends into the curriculum. This may include topics such as artificial intelligence, machine learning, cloud computing, cybersecurity, and data science. Keeping the curriculum up-to-date with industry developments ensures that students are well-prepared for careers in the field.

IT Project Manager

Technology Consultant

Business Intelligence (BI) Developer/Analyst

Digital Marketing Manager

Information Systems Manager/Director

Business Analyst

Entrepreneur/Startup Founder

• Focus:The program offers a specialized focus on cutting-edge data science topics such as Artificial Intelligence, Big Data, and Data Analysis with Python. This focus equips students with the latest tools and techniques crucial for success in the data-driven industry.
• Curriculum:The curriculum covers a wide array of modules including Business IT Project, Agile Development, IT Project Management, and Professional Development in IT, alongside core data science subjects. This comprehensive approach ensures students are well-rounded with both technical and managerial skills.
• Career Opportunities:Graduates have access to diverse career opportunities ranging from Data Scientist and Applications Architect to Business Intelligence Developer and Statistician. The program's strong emphasis on practical skills and industry-relevant projects prepares students for a successful career in the rapidly evolving field of data science and IT architecture.

• NCC Education Level 4 Diploma in Computing (L4DC)
OR
• A local or international qualification, which is deemed to be of a similar level to the NCC Education Level 4 Diploma in Computing (L4DC)

This must be agreed with NCC Education in advance.

Second year of Graduation: Level 5 Diploma in Computing with Data Science

Term 1 – ANY Three Core units and one Electives

Term 2 - ANY one Core units and one Electives

Third year of Graduation: Level 6 Diploma in Computing with Data Science
Upon successful completion of the Level-5 Diploma, students will be able to get online graduation degree in BSc (Hons) Business Computing with Data Science from University of Central Lancashire (UCLan), OR can go to UK for pursuing final year of Degree in one of the many universities which recognize NCC Education qualifications.

1. Foundational Knowledge: Start with the basics of statistics, mathematics, and computer science. This includes probability theory, linear algebra, calculus, and algorithms. Understanding these fundamentals provides a solid basis for more advanced concepts.
2. Programming Skills: Proficiency in programming languages like Python or R is essential for data science. Teach students how to manipulate data, perform analysis, and visualize results using libraries like NumPy, pandas, matplotlib (in Python), or dplyr, ggplot2 (in R).
3. Data Manipulation and Cleaning: Data rarely comes in a clean format. Teach techniques for data cleaning, transformation, and manipulation. This includes handling missing values, outliers, and formatting issues.
4. Statistical Analysis: Introduce statistical methods for data analysis such as hypothesis testing, regression analysis, clustering, and classification. Emphasize both the theoretical understanding of these methods and their practical application.
5. Machine Learning: Cover various machine learning algorithms including supervised learning (e.g., linear regression, decision trees, support vector machines) and unsupervised learning (e.g., clustering, dimensionality reduction). Teach students how to evaluate model performance and tune hyperparameters.
6. Data Visualization: Effective data visualization is crucial for communicating insights. Teach students how to create clear and informative visualizations using tools like Matplotlib, Seaborn, Plotly (in Python), or ggplot2, ggvis (in R).
7. Big Data Technologies: Introduce students to big data technologies like Hadoop, Spark, and distributed computing frameworks. Teach them how to work with large datasets efficiently and how to leverage cloud computing platforms like AWS, Google Cloud, or Azure.
8. Real-world Projects: Encourage students to work on real-world data science projects. This could involve analyzing datasets from various domains such as finance, healthcare, marketing, or social media. Real projects provide practical experience and help students build a portfolio.
9. Ethical Considerations: Discuss the ethical implications of data science including privacy concerns, bias in algorithms, and data security issues. Teach students to approach data science with integrity and responsibility.
10. Continuous Learning: Data science is a rapidly evolving field. Encourage students to stay updated with the latest advancements, tools, and techniques through online courses, workshops, conferences, and self-study.

Data Scientist

Applications architect

Data architect

Enterprise architect

Business intelligence developer

Data analyst

Statistician

1. Professional Development:Graduates of this program will be well-equipped with both technical knowledge and interpersonal skills crucial for navigating the complexities of modern computer systems. This includes skills necessary for design, implementation, management, and security.
2. Career Opportunities:Completion of this final year degree program opens up avenues for graduates to work as professional cyber security practitioners. Given the increasing demand for cyber security expertise, graduates will likely find themselves in high demand within the industry.
3. Industry Partnerships:Collaboration with CompTIA, a reputable trade association in the UK, provides graduates with an added advantage. The opportunity to attain additional professional IT certifications such as Cyber Security (CySA+) or Cloud Infrastructure (Cloud+) further enhances their credentials and employability.
4. Diverse Career Paths:The technical computing skills acquired through this program pave the way for graduates to explore various senior roles within the cyber security domain. This includes positions such as Security Analyst, Database Administrator, Security Engineer, Systems Analyst, Security Consultant/Specialist, and Systems Designer.

Overall, this program seems to offer a comprehensive curriculum tailored to meet the evolving demands of the cyber security industry, coupled with valuable industry partnerships that enhance the professional development and career prospects of its graduates.

For entry onto the NCC Education L5DC CS course, students must have at least one of the following:

• NCC Education Level 4 Diploma in Computing (L4DC) or the Level 4 Diploma in Computing (with Business Management) (L4DC BM).
OR
• A local or international qualification, which is deemed to be of a similar level to the NCC Education Level 4 Diploma in Computing (L4DC) or the Level 4 Diploma in Computing (with Business Management) (L4DC BM) qualifications. This must be agreed with NCC Education in advance.

Second year of Graduation: Level 5 Diploma in Computing with Cyber Security

Term 1 – ANY Three Core units and one Electives

Term 2 - ANY one Core units and one Electives

Third year of Graduation: Level 6 Diploma in Computing with Cyber Security
Upon successful completion of the Level-5 Diploma, students will be able to get online graduation degree in BSc (Hons) Business Computing with Cyber Security from University of Central Lancashire (UCLan), OR can go to UK for pursuing final year of Degree in one of the many universities which recognize NCC Education qualifications.

1. Theoretical Foundations: Cyber security education often begins with a solid grounding in the fundamental concepts, principles, and theories underlying information security. This includes understanding topics such as cryptography, network security, secure software development, risk management, compliance and legal issues, and ethical hacking.
2. Practical Application: Theory is reinforced through practical application. Students engage in hands-on exercises, labs, and projects to apply theoretical concepts in real-world scenarios. This could involve tasks such as setting up secure networks, implementing encryption algorithms, analysing malware, conducting penetration testing, and developing secure coding practices.
3. Case Studies and Scenarios: Integrating real-world case studies and scenarios into the curriculum helps students understand the practical implications of cyber security concepts. By analysing past security breaches, students gain insights into the tactics, techniques, and procedures employed by threat actors and learn how to defend against them.
4. Simulations and Cyber Ranges: Simulations and cyber ranges provide controlled environments where students can practice their skills in a realistic setting. These environments simulate cyber-attacks, allowing students to develop incident response strategies, practice forensic analysis, and hone their defensive techniques in a safe and controlled environment.
5. Interactive Learning: Interactive learning methodologies, such as group discussions, collaborative projects, and problem-based learning activities, foster active engagement and critical thinking skills. Through peer-to-peer interaction and teamwork, students develop communication skills and learn how to collaborate effectively to solve complex cyber security challenges.
6. Certifications and External Partnerships: Many cyber security programs incorporate industry-recognized certifications into their curriculum, such as CompTIA Security+, Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), etc. Partnering with industry organizations and professionals provides students with access to resources, mentorship, and networking opportunities, enhancing their learning experience and preparing them for careers in the field.
7. Continual Learning and Adaptation: Cyber security is a rapidly evolving field, so an emphasis on continual learning and adaptation is essential. Curricula should be regularly updated to reflect the latest trends, threats, and technologies in the cyber security landscape. Encouraging students to stay informed through professional development opportunities, conferences, and industry publications ensures they remain well-prepared to address emerging challenges in the field.

Cybersecurity Analyst/Engineer

Incident Responder

Security Consultant

Security Architect

Ethical Hacker

Security Operations Center (SOC) Analyst

Cybersecurity Researcher

Security Manager/Director