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JSSC Secondary Teacher (Cyber Security and Data Science) Syllabus 2026, Exam Pattern
1
JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-I) Exam - Hindi200 questions • 180 mins • 200 marks
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JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-I) Exam - English200 questions • 180 mins • 200 marks
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JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-II) Exam - English150 questions • 180 mins • 300 marks
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1
JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-I) Exam - Hindi200 questions
Free Questions →2
JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-I) Exam - English200 questions
Free Questions →3
JSSC Secondary Teacher (Cyber Security and Data Science) (Paper-II) Exam - English150 questions
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Combo - 11 Paper-II (English)
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4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
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Combo Package
JSSC Secondary Teacher Cyber Security and Data Science
Combo - 12 Paper-I (Hindi)
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5. 1500 (+) Current Affairs MCQ with Answer PDF in Hindi.
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Combo Package
JSSC Secondary Teacher Cyber Security and Data Science
Combo - 13 Paper-I (English)
1. Online Mock Test Series in English = 25 Tests.
2. Question Bank - 2000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of JSSC Secondary Teacher Cyber Security and Data Science (1000 MCQ) in PDF Format in English
5. 1500 (+) Current Affairs MCQ with Answer PDF in English
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2000 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
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Combo Package
JSSC Secondary Teacher Cyber Security and Data Science
Combo - 14 Paper-II (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1800 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of JSSC Secondary Teacher Cyber Security and Data Science (1000 MCQ) in PDF Format in English
5. 1500 (+) Current Affairs MCQ with Answer PDF in English
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1800 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of JSSC Secondary Teacher Cyber Security and Data Science (1000 MCQ) in PDF Format in English
5. 1500 (+) Current Affairs MCQ with Answer PDF in English
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JSSC Secondary Teacher (Cyber Security and Data Science) Syllabus 2026, Exam Pattern
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JSSC Secondary Teacher (Cyber Security and Data Science) Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about JSSC has published notification 2026 for the recruitment of Secondary Teacher (Cyber Security and Data Science) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
JSSC Secondary Teacher Syllabus 2026 - Overview
| Organization Name | Jharkhand Staff Selection Commission (JSSC) |
| Exam Name | Jharkhand Trained Secondary Teacher Combined Competitive Examination 2026 |
| Post Name | Secondary Teacher (Cyber Security and Data Science) |
| Vacancies | Notified Soon |
| Mode of Application | Online |
| Category | Syllabus and Exam Pattern |
| Selection Process | Written Exam (Main Examination: Paper I & II) |
| Official Website | https://jssc.jharkhand.gov.in |
JSSC Secondary Teacher (Cyber Security and Data Science) Syllabus 2026
General Studies :
1. Current Affairs - Scientific Progress, National/International Awards, Indian Languages, Books, Scripts, Capitals, Currency, Sports, and Important Events.
2. India's History, Culture, Geography, Environment, Economic Scenario, Independence Movement, Indian Agriculture, and Major Natural Resources,
3. Indian Constitution and Governance, the Country's Political System, Panchayati Raj. Community Development, Five-Year Plans.
General Knowledge of Jharkhand
Information about the geographical and political situation of Jharkhand state.
1. Jharkhand's Geography
2. History
3. Civilization and Culture
4. Language-Literature
5. Places
6. Minerals
7. Industries
8. Jharkhand's contribution to the National Movement
9. Development Plans
10. Sports personalities
11. Personalities
12. Civic achievements
13. National and International importance-related topics.
General Science
1. Physics
2. Chemistry
3. Biology
General Mathematics:
1. Arithmetic
2. Primary algebra
3. Geometry
4. Trigonometry, and related to area measurements.
Mental Ability Test
1. Visual similarity and difference
2. Spatial visualization
3. Problem-solving
4. Analysis
5. Visual memory
6. Relationship concepts
7. Arithmetic reasoning.
8. Numerical series
9. Coded writing and interpretation, etc.
Basic knowledge of computers :
1. Microsoft Windows
2. Operating system
3. Generation of Computers
4. RAM, ROM
5. MS Office
6. Internet
Knowledge on Hindi & English Language :-
Hindi Language :
1. Unseen Passage Questions on Grammar on the following –
2. Idioms & Phrases.
3. Verb.
4. Reading Comprehension.
5. Articles.
6. Meanings.
7. Unseen Passages.
8. Sentence Corrections.
9. Error Spotting/Phrase Replacement.
10. Para Jumbles.
11. Word Formations.
12. Adjectives.
13. Synonyms
14. Antonyms
15. Sentence Rearrangement.
English Language
1. Unseen Passage Questions on Grammar including topics such as –
2. Samas, Sandhi, Verb, Adjective, Sets
3. Synonyms
4. Paragraphs
5. Proverbs
6. Antonyms
7. Phrases
Paper II: Cyber Security and Data Science :
1. Cyber Security :
Introduction to Cyber Security- History and evolution of cyber security, Types of cyber threats and attacks, Cyber security domains (network, application, cloud, loT), Security principles (CIA triad), Cyber ethics, Cyber laws and IT Act in India
Network Security- Network architecture and protocols, Network security models and frameworks, Network threats and vulnerabilities, Firewalls, IDS/IPS, and VPNs
Cryptography-Symmetric and asymmetric encryption, Hash functions and digital signatures, PKI and certificate authorities, Encryption algorithms (AES, RSA, ECC)
Authentication and Access Control- Authentication factors and methods, Authorization and access control models, Identity and access management, Single sign-on and federated identity
Application Security- Secure coding practices, Common vulnerabilities (OWASP Top 10), Web application security, Mobile application security
Threat Intelligence and Analysis- Sources of threat intelligence, Threat hunting and analysis, Malware analysis techniques, Cyber kill chain and attack frameworks
Security Operations Security monitoring and SIEM, Incident response procedures, Digital forensics principles, Log analysis and security analytics
Governance, Risk, and Compliance- Information security frameworks, Risk assessment methodologies, Security policies and procedures, Compliance requirements and audits
Emerging Trends in Cyber Security- Cloud security, loT security, Al/ML in security, Zero trust architecture
2. Data Science
Introduction to Data Science- Data science process and lifecycle, Types of data (structured, unstructured, semi-structured), Data sources and acquisition methods, Ethics in data science
Data Manipulation and Analysis- Data cleaning and preprocessing, Exploratory data analysis, Statistical methods for data analysis, Data transformation techniques
Data Visualization- Principles of effective visualization, Types of visualizations (charts, graphs, maps), Tools for data visualization, Storytelling with data
Probability and Statistics for Data Science- Descriptive statistics, Probability distributions, Inferential statistics and hypothesis testing, Correlation and regression analysis
Machine Learning for Data Science- Supervised learning algorithms, Unsupervised learning algorithms, Feature engineering and selection, Model evaluation and validation
Big Data Analytics- Big data characteristics and challenges, Distributed computing frameworks, NoSQL databases, Stream processing
Predictive Analytics- Time series analysis and forecasting, Regression models, Classification models, Ensemble methods
Data Science Tools and Technologies- Python for data science (NumPy, Pandas, Scikit-learn), R programming for data analysis, SQL for data manipulation, Big data tools (Hadoop, Spark)
3. Integration of Cyber Security and Data Science :
Data-Driven Security- Security analytics, Threat detection using machine learning, Anomaly detection techniques, Predictive security monitoring
Privacy-Preserving Data Analysis- Privacy regulations (GDPR, CCPA), Anonymization and pseudonymization techniques, Differential privacy, Secure multi-party computation
Security in Data Science Workflows-Securing data pipelines, Model security and adversarial attacks, Secure deployment of ML models, Data protection in analytics platforms
1. Cyber Security :
Introduction to Cyber Security- History and evolution of cyber security, Types of cyber threats and attacks, Cyber security domains (network, application, cloud, loT), Security principles (CIA triad), Cyber ethics, Cyber laws and IT Act in India
Network Security- Network architecture and protocols, Network security models and frameworks, Network threats and vulnerabilities, Firewalls, IDS/IPS, and VPNs
Cryptography-Symmetric and asymmetric encryption, Hash functions and digital signatures, PKI and certificate authorities, Encryption algorithms (AES, RSA, ECC)
Authentication and Access Control- Authentication factors and methods, Authorization and access control models, Identity and access management, Single sign-on and federated identity
Application Security- Secure coding practices, Common vulnerabilities (OWASP Top 10), Web application security, Mobile application security
Threat Intelligence and Analysis- Sources of threat intelligence, Threat hunting and analysis, Malware analysis techniques, Cyber kill chain and attack frameworks
Security Operations Security monitoring and SIEM, Incident response procedures, Digital forensics principles, Log analysis and security analytics
Governance, Risk, and Compliance- Information security frameworks, Risk assessment methodologies, Security policies and procedures, Compliance requirements and audits
Emerging Trends in Cyber Security- Cloud security, loT security, Al/ML in security, Zero trust architecture
2. Data Science
Introduction to Data Science- Data science process and lifecycle, Types of data (structured, unstructured, semi-structured), Data sources and acquisition methods, Ethics in data science
Data Manipulation and Analysis- Data cleaning and preprocessing, Exploratory data analysis, Statistical methods for data analysis, Data transformation techniques
Data Visualization- Principles of effective visualization, Types of visualizations (charts, graphs, maps), Tools for data visualization, Storytelling with data
Probability and Statistics for Data Science- Descriptive statistics, Probability distributions, Inferential statistics and hypothesis testing, Correlation and regression analysis
Machine Learning for Data Science- Supervised learning algorithms, Unsupervised learning algorithms, Feature engineering and selection, Model evaluation and validation
Big Data Analytics- Big data characteristics and challenges, Distributed computing frameworks, NoSQL databases, Stream processing
Predictive Analytics- Time series analysis and forecasting, Regression models, Classification models, Ensemble methods
Data Science Tools and Technologies- Python for data science (NumPy, Pandas, Scikit-learn), R programming for data analysis, SQL for data manipulation, Big data tools (Hadoop, Spark)
3. Integration of Cyber Security and Data Science :
Data-Driven Security- Security analytics, Threat detection using machine learning, Anomaly detection techniques, Predictive security monitoring
Privacy-Preserving Data Analysis- Privacy regulations (GDPR, CCPA), Anonymization and pseudonymization techniques, Differential privacy, Secure multi-party computation
Security in Data Science Workflows-Securing data pipelines, Model security and adversarial attacks, Secure deployment of ML models, Data protection in analytics platforms
JSSC Secondary Teacher (Cyber Security and Data Science) Exam Pattern 2026
| Paper | Subject | No.of Question | Marks | Duration |
| Paper 1 | General Knowledge (Including gk of Computer Operation) | 100 | 100 | 3 Hour |
| Hindi and English Language | 100 | 100 | ||
| Paper 2 | Subject Related Question | 150 | 300 | 3 Hour |
| Total | 350 | 500 | 6 Hour |
Exam Date 2026 : Notified Soon
Starting Date of Application Form : Notified Soon
Last Date of Application Form : Notified Soon
FAQs
Jssc Secondary Teacher (cyber Security and Data Science) 2026 Exam Syllabus Frequently Asked Questions (FAQ's)
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